Known Issues
Package List
- ALDEx2-1.38.0 Analysis Of Differential Abundance Taking Sample and Scale Variation Into Account
- ALL 1.46.0 Package Not Found
- AgiMicroRna-2.56.0 Processing and Differential Expression Analysis of Agilent microRNA chips
- AnnotationDbi-1.68.0 Manipulation of SQLite-based annotations in Bioconductor
- AnnotationFilter-1.30.0 Facilities for Filtering Bioconductor Annotation Resources
- AnnotationForge-1.48.0 Tools for building SQLite-based annotation data packages
- AnnotationHub-3.14.0 Client to access AnnotationHub resources
- ArchR 1.0.2 Package Not Found
- BSgenome-1.74.0 Software infrastructure for efficient representation of full genomes and their SNPs
- BSgenome.Hsapiens.UCSC.hg19 1.4.3 Package Not Found
- Bhat-0.9-12 General Likelihood Exploration
- Biobase-2.66.0 Biobase: Base functions for Bioconductor
- BiocBaseUtils-1.8.0 General utility functions for developing Bioconductor packages
- BiocFileCache-2.14.0 Manage Files Across Sessions
- BiocGenerics-0.52.0 S4 generic functions used in Bioconductor
- BiocIO-1.16.0 Standard Input and Output for Bioconductor Packages
- BiocManager-1.30.25 Access the Bioconductor Project Package Repository
- BiocNeighbors-2.0.1 Nearest Neighbor Detection for Bioconductor Packages
- BiocParallel-1.40.0 Bioconductor facilities for parallel evaluation
- BiocSingular-1.22.0 Singular Value Decomposition for Bioconductor Packages
- BiocStyle-2.34.0 Standard styles for vignettes and other Bioconductor documents
- BiocVersion-3.20.0 Set the appropriate version of Bioconductor packages
- Biostrings-2.74.1 Efficient manipulation of biological strings
- BivarP-1.0 Estimating the Parameters of Some Bivariate Distributions
- Bolstad-0.2.42 Functions for Elementary Bayesian Inference
- Bolstad2-1.0-29 Bolstad Functions
- BradleyTerry2-1.1-2 Bradley-Terry Models
- CATALYST-1.30.2 Cytometry dATa anALYSis Tools
- CGHbase-1.66.0 CGHbase: Base functions and classes for arrayCGH data analysis.
- CLONETv2-2.2.1 Clonality Estimates in Tumor
- CMA-1.64.0 Synthesis of microarray-based classification
- CNEr-1.42.0 CNE Detection and Visualization
- COMPASS-1.44.0 Combinatorial Polyfunctionality Analysis of Single Cells
- CaSpER v2.0 Package Not Found
- Category-2.72.0 Category Analysis
- ChIPQC-1.42.0 Quality metrics for ChIPseq data
- ChIPpeakAnno-3.40.0 Batch annotation of the peaks identified from either ChIP-seq, ChIP-chip experiments, or any experiments that result in large number of genomic interval data
- ChIPseeker-1.42.1 ChIPseeker for ChIP peak Annotation, Comparison, and Visualization
- ComplexHeatmap-2.22.0 Make Complex Heatmaps
- ConsensusClusterPlus-1.70.0 ConsensusClusterPlus
- CytoML-2.18.2 A GatingML Interface for Cross Platform Cytometry Data Sharing
- DAAG-1.25.6 Data Analysis and Graphics Data and Functions
- DECIPHER-3.2.0 Tools for curating, analyzing, and manipulating biological sequences
- DEGseq-1.60.0 Identify Differentially Expressed Genes from RNA-seq data
- DESeq2-1.46.0 Differential gene expression analysis based on the negative binomial distribution
- DNAcopy-1.80.0 DNA Copy Number Data Analysis
- DO.db 2.9 Package Not Found
- DOSE-4.0.0 Disease Ontology Semantic and Enrichment analysis
- DOT-0.1 Render and Export DOT Graphs in R
- DelayedArray-0.32.0 A unified framework for working transparently with on-disk and in-memory array-like datasets
- DelayedMatrixStats-1.28.1 Functions that Apply to Rows and Columns of ‘DelayedMatrix’ Objects
- DiceDesign-1.10 Designs of Computer Experiments
- DiffBind-3.16.0 Differential Binding Analysis of ChIP-Seq Peak Data
- DirichletMultinomial-1.48.0 Dirichlet-Multinomial Mixture Model Machine Learning for Microbiome Data
- DynDoc-1.84.0 Dynamic document tools
- EBImage-4.48.0 Image processing and analysis toolbox for R
- EpiModel-2.5.0 Mathematical Modeling of Infectious Disease Dynamics
- ExperimentHub-2.14.0 Client to access ExperimentHub resources
- FDb.InfiniumMethylation.hg19 2.2.0 Package Not Found
- FlowSOM-2.14.0 Using self-organizing maps for visualization and interpretation of cytometry data
- GEOquery-2.74.0 Get data from NCBI Gene Expression Omnibus (GEO)
- GO.db 3.19.1 Package Not Found
- GOSemSim-2.32.0 GO-terms Semantic Similarity Measures
- GOstats-2.72.0 Tools for manipulating GO and microarrays
- GPfit-1.0-8 Gaussian Processes Modeling
- GSEABase-1.68.0 Gene set enrichment data structures and methods
- GSVA-2.0.5 Gene Set Variation Analysis for Microarray and RNA-Seq Data
- GWASExactHW-1.2 Exact Hardy-Weinburg Testing for Genome Wide Association Studies
- GWASTools-1.52.0 Tools for Genome Wide Association Studies
- GenomeInfoDb-1.42.3 Utilities for manipulating chromosome names, including modifying them to follow a particular naming style
- GenomeInfoDbData 1.2.12 Package Not Found
- GenomicAlignments-1.42.0 Representation and manipulation of short genomic alignments
- GenomicFeatures-1.58.0 Query the gene models of a given organism/assembly
- GenomicFiles-1.42.0 Distributed computing by file or by range
- GenomicRanges-1.58.0 Representation and manipulation of genomic intervals
- Glimma-2.16.0 Interactive visualizations for gene expression analysis
- Gmisc-3.0.3 Descriptive Statistics, Transition Plots, and More
- GreyListChIP-1.38.0 Grey Lists – Mask Artefact Regions Based on ChIP Inputs
- Gviz-1.50.0 Plotting data and annotation information along genomic coordinates
- HDF5Array-1.34.0 HDF5 datasets as array-like objects in R
- HDO.db 0.99.1 Package Not Found
- HMMcopy-1.48.0 Copy number prediction with correction for GC and mappability bias for HTS data
- HSMMSingleCell 1.24.0 Package Not Found
- HaploSim-1.8.4.2 Functions to Simulate Haplotypes
- Homo.sapiens 1.3.1 Package Not Found
- IHW-1.34.0 Independent Hypothesis Weighting
- IRanges-2.40.1 Foundation of integer range manipulation in Bioconductor
- IRdisplay-1.1 ‘Jupyter’ Display Machinery
- IlluminaHumanMethylation450kmanifest 0.4.0 Package Not Found
- InteractionSet-1.34.0 Base Classes for Storing Genomic Interaction Data
- KEGGREST-1.46.0 Client-side REST access to the Kyoto Encyclopedia of Genes and Genomes (KEGG)
- KEGGgraph-1.66.0 KEGGgraph: A graph approach to KEGG PATHWAY in R and Bioconductor
- LogicReg-1.6.6 Logic Regression
- LymphoSeq-1.34.0 Analyze high-throughput sequencing of T and B cell receptors
- LymphoSeqDB 0.99.2 Package Not Found
- MAGeCKFlute-2.9.0 Integrative Analysis Pipeline for Pooled CRISPR Functional Genetic Screens
- MAST-1.32.0 Model-based Analysis of Single Cell Transcriptomics
- MCMCglmm-2.36 MCMC Generalised Linear Mixed Models
- MPV-1.64 Data Sets from Montgomery, Peck and Vining
- MatrixEQTL-2.3 Matrix eQTL: Ultra Fast eQTL Analysis via Large Matrix
Operations
- MatrixExtra-0.1.15 Extra Methods for Sparse Matrices
- MatrixGenerics-1.18.1 S4 Generic Summary Statistic Functions that Operate on Matrix-Like Objects
- Mfuzz-2.66.0 Soft clustering of omics time series data
- NADA-1.6-1.1 Nondetects and Data Analysis for Environmental Data
- NOISeq-2.50.0 Exploratory analysis and differential expression for RNA-seq data
- Nozzle.R1-1.1-1.1 Nozzle Reports
- OrganismDbi-1.48.0 Software to enable the smooth interfacing of different database packages
- PBSddesolve-1.13.4 Solver for Delay Differential Equations
- PFAM.db 3.19.1 Package Not Found
- PICS-2.50.0 Probabilistic inference of ChIP-seq
- PolynomF-2.0-8 Polynomials in R
- ProtGenerics-1.38.0 Generic infrastructure for Bioconductor mass spectrometry packages
- QUIC-1.1.1 Regularized Sparse Inverse Covariance Matrix Estimation
- R2jags-0.8-9 Using R to Run ‘JAGS’
- RBGL-1.82.0 An interface to the BOOST graph library
- REDCapR-1.4.0 Interaction Between R and REDCap
- RLRsim-3.1-8 Exact (Restricted) Likelihood Ratio Tests for Mixed and Additive
Models
- RNASeqPower-1.46.0 Sample size for RNAseq studies
- RPostgres-1.4.8 C++ Interface to PostgreSQL
- RPresto-1.4.7 DBI Connector to Presto
- RProtoBuf-0.4.23 R Interface to the ‘Protocol Buffers’ ‘API’ (Version 2 or 3)
- RProtoBufLib-2.18.0 C++ headers and static libraries of Protocol buffers
- RSclient-0.7-10 Client for Rserve
- RVenn-1.1.0 Set Operations for Many Sets
- RaggedExperiment-1.30.0 Representation of Sparse Experiments and Assays Across Samples
- RcppAnnoy-0.0.22 ‘Rcpp’ Bindings for ‘Annoy’, a Library for Approximate Nearest
Neighbors
- RcppCCTZ-0.2.13 ‘Rcpp’ Bindings for the ‘CCTZ’ Library
- RcppDate-0.0.5 ‘date’ C++ Header Library for Date and Time Functionality
- RcppHNSW-0.6.0 ‘Rcpp’ Bindings for ‘hnswlib’, a Library for Approximate Nearest
Neighbors
- RcppML-0.3.7 Rcpp Machine Learning Library
- RcppNumerical-0.6-0 ‘Rcpp’ Integration for Numerical Computing Libraries
- RcppPlanc 1.0.0 Package Not Found
- RcppZiggurat-0.1.6 ‘Rcpp’ Integration of Different “Ziggurat” Normal RNG
Implementations
- Rdsdp-1.0.5.2.1 R Interface to DSDP Semidefinite Programming Library
- ReportingTools-2.46.0 Tools for making reports in various formats
- Rfast-2.1.5 A Collection of Efficient and Extremely Fast R Functions
- Rgraphviz-2.50.0 Provides plotting capabilities for R graph objects
- Rhdf5lib-1.28.0 hdf5 library as an R package
- Rhpc-0.21-247 Permits *apply() Style Dispatch for ‘HPC’
- Rhtslib-3.2.0 HTSlib high-throughput sequencing library as an R package
- Rlabkey-3.4.1 Data Exchange Between R and ‘LabKey’ Server
- Rmpi-0.7-3.3 Interface (Wrapper) to MPI (Message-Passing Interface)
- Rsamtools-2.22.0 Binary alignment (BAM), FASTA, variant call (BCF), and tabix file import
- Rsubread-2.20.0 Mapping, quantification and variant analysis of sequencing data
- S4Arrays-1.6.0 Foundation of array-like containers in Bioconductor
- S4Vectors-0.44.0 Foundation of vector-like and list-like containers in Bioconductor
- SNPRelate-1.40.0 Parallel Computing Toolset for Relatedness and Principal Component Analysis of SNP Data
- SNPassoc-2.1-2 SNPs-Based Whole Genome Association Studies
- SPIA-2.58.0 Signaling Pathway Impact Analysis (SPIA) using combined evidence of pathway over-representation and unusual signaling perturbations
- ScaledMatrix-1.14.0 Creating a DelayedMatrix of Scaled and Centered Values
- SemiPar-1.0-4.2 Semiparametic Regression
- ShortRead-1.64.0 FASTQ input and manipulation
- SingleCellExperiment-1.28.1 S4 Classes for Single Cell Data
- SparseArray-1.6.2 High-performance sparse data representation and manipulation in R
- SpatialExperiment-1.16.0 S4 Class for Spatially Resolved -omics Data
- SummarizedExperiment-1.36.0 A container (S4 class) for matrix-like assays
- TFBSTools-1.44.0 Software Package for Transcription Factor Binding Site (TFBS) Analysis
- TFMPvalue-0.0.9 Efficient and Accurate P-Value Computation for Position Weight
Matrices
- TitanCNA-1.44.0 Subclonal copy number and LOH prediction from whole genome sequencing of tumours
- TxDb.Celegans.UCSC.ce6.ensGene 3.2.2 Package Not Found
- TxDb.Dmelanogaster.UCSC.dm3.ensGene 3.2.2 Package Not Found
- TxDb.Hsapiens.UCSC.hg18.knownGene 3.2.2 Package Not Found
- TxDb.Hsapiens.UCSC.hg19.knownGene 3.2.2 Package Not Found
- TxDb.Mmusculus.UCSC.mm10.knownGene 3.10.0 Package Not Found
- TxDb.Mmusculus.UCSC.mm9.knownGene 3.2.2 Package Not Found
- TxDb.Rnorvegicus.UCSC.rn4.ensGene 3.2.2 Package Not Found
- UCSC.utils-1.2.0 Low-level utilities to retrieve data from the UCSC Genome Browser
- VariantAnnotation-1.52.0 Annotation of Genetic Variants
- Wrench-1.24.0 Wrench normalization for sparse count data
- XVector-0.46.0 Foundation of external vector representation and manipulation in Bioconductor
- affxparser-1.78.0 Affymetrix File Parsing SDK
- affy-1.84.0 Methods for Affymetrix Oligonucleotide Arrays
- affycoretools-1.78.0 Functions useful for those doing repetitive analyses with Affymetrix GeneChips
- affyio-1.76.0 Tools for parsing Affymetrix data files
- alr3-2.0.8 Data to Accompany Applied Linear Regression 3rd Edition
- amap-0.8-20 Another Multidimensional Analysis Package
- annaffy-1.78.0 Annotation tools for Affymetrix biological metadata
- annotate-1.84.0 Annotation for microarrays
- apeglm-1.28.0 Approximate posterior estimation for GLM coefficients
- argparser-0.7.2 Command-Line Argument Parser
- arsenal-3.6.3 An Arsenal of ‘R’ Functions for Large-Scale Statistical
Summaries
- arules-1.7-9 Mining Association Rules and Frequent Itemsets
- ash-1.0-15 David Scott’s ASH Routines
- ashr-2.2-63 Methods for Adaptive Shrinkage, using Empirical Bayes
- assorthead-1.0.1 Assorted Header-Only C++ Libraries
- aws.ec2metadata-0.2.0 Get EC2 Instance Metadata
- aws.s3-0.3.21 ‘AWS S3’ Client Package
- aws.signature-0.6.0 Amazon Web Services Request Signatures
- babelgene-22.9 Gene Orthologs for Model Organisms in a Tidy Data Format
- bamsignals-1.38.0 Extract read count signals from bam files
- base64url-1.4 Fast and URL-Safe Base64 Encoder and Decoder
- basilisk-1.18.0 Freezing Python Dependencies Inside Bioconductor Packages
- basilisk.utils-1.18.0 Basilisk Installation Utilities
- batchtools-0.9.17 Tools for Computation on Batch Systems
- beachmat-2.22.0 Compiling Bioconductor to Handle Each Matrix Type
- benchmark-0.3-6 Benchmark Experiments Toolbox
- bezier-1.1.2 Toolkit for Bezier Curves and Splines
- biglm-0.9-3 Bounded Memory Linear and Generalized Linear Models
- biomaRt-2.62.1 Interface to BioMart databases (i.e. Ensembl)
- biomformat-1.34.0 An interface package for the BIOM file format
- biovizBase-1.54.0 Basic graphic utilities for visualization of genomic data.
- bookdown-0.42 Authoring Books and Technical Documents with R Markdown
- breakaway-4.8.4 Species Richness Estimation and Modeling
- bumphunter-1.48.0 Bump Hunter
- catdata-1.2.4 Categorical Data
- chipseq-1.56.0 chipseq: A package for analyzing chipseq data
- chromVAR-1.28.0 Chromatin Variation Across Regions
- clusterProfiler-4.14.6 A universal enrichment tool for interpreting omics data
- collections-0.3.7 High Performance Container Data Types
- colorRamps-2.3.4 Builds Color Tables
- compare-0.2-6 Comparing Objects for Differences
- config-0.3.2 Manage Environment Specific Configuration Values
- cummeRbund-2.48.0 Analysis, exploration, manipulation, and visualization of Cufflinks high-throughput sequencing data.
- curry-0.1.1 Partial Function Application with %<%, %-<%, and %><%
- cyclocomp-1.1.1 Cyclomatic Complexity of R Code
- cytolib-2.16.0 C++ infrastructure for representing and interacting with the gated cytometry data
- dada2-1.34.0 Accurate, high-resolution sample inference from amplicon sequencing data
- degreenet-1.3-6 Models for Skewed Count Distributions Relevant to Networks
- densvis-1.16.0 Density-Preserving Data Visualization via Non-Linear Dimensionality Reduction
- depmap 1.18.0 Package Not Found
- derfinder-1.40.0 Annotation-agnostic differential expression analysis of RNA-seq data at base-pair resolution via the DER Finder approach
- derfinderHelper-1.40.0 derfinder helper package
- descr-1.1.8 Descriptive Statistics
- dfoptim-2023.1.0 Derivative-Free Optimization
- dials-1.4.0 Tools for Creating Tuning Parameter Values
- diamonds-1.0-5 Analysis and sampling grids from diamond partitions
- diffusionMap-1.2.0 Diffusion Map
- dir.expiry-1.14.0 Managing Expiration for Cache Directories
- directlabels-2024.1.21 Direct Labels for Multicolor Plots
- doFuture-1.0.1 Use Foreach to Parallelize via the Future Framework
- doMPI-0.2.2 Foreach Parallel Adaptor for the Rmpi Package
- dqrng-0.4.1 Fast Pseudo Random Number Generators
- drc-3.0-1 Analysis of Dose-Response Curves
- edgeR-4.4.2 Empirical Analysis of Digital Gene Expression Data in R
- egor-1.24.2 Import and Analyse Ego-Centered Network Data
- elasticnet-1.3 Elastic-Net for Sparse Estimation and Sparse PCA
- enrichplot-1.26.6 Visualization of Functional Enrichment Result
- ensembldb-2.30.0 Utilities to create and use Ensembl-based annotation databases
- ergm.ego-1.1.0 Fit, Simulate and Diagnose Exponential-Family Random Graph
Models to Egocentrically Sampled Network Data
- etrunct-0.1 Computes Moments of Univariate Truncated t Distribution
- europepmc-0.4.3 R Interface to the Europe PubMed Central RESTful Web Service
- fANCOVA-0.6-1 Nonparametric Analysis of Covariance
- faraway-1.0.9 Datasets and Functions for Books by Julian Faraway
- fastseg-1.52.0 fastseg - a fast segmentation algorithm
- fasttime-1.1-0 Fast Utility Function for Time Parsing and Conversion
- fda-6.2.0 Functional Data Analysis
- fds-1.8 Functional Data Sets
- fgsea-1.32.2 Fast Gene Set Enrichment Analysis
- filelock-1.0.3 Portable File Locking
- fit.models-0.64 Compare Fitted Models
- float-0.3-2 32-Bit Floats
- flowClust-3.44.0 Clustering for Flow Cytometry
- flowCore-2.18.0 flowCore: Basic structures for flow cytometry data
- flowStats-4.18.0 Statistical methods for the analysis of flow cytometry data
- flowViz-1.70.0 Visualization for flow cytometry
- flowWorkspace-4.18.0 Infrastructure for representing and interacting with gated and ungated cytometry data sets.
- forestplot-3.1.6 Advanced Forest Plot Using ‘grid’ Graphics
- forge-0.2.0 Casting Values into Shape
- fts-0.9.9.2 R Interface to ‘tslib’ (a Time Series Library in C++)
- gage-2.56.0 Generally Applicable Gene-set Enrichment for Pathway Analysis
- gcrma-2.78.0 Background Adjustment Using Sequence Information
- gdsfmt-1.42.1 R Interface to CoreArray Genomic Data Structure (GDS) Files
- geneLenDataBase 1.39.0 Package Not Found
- genefilter-1.88.0 genefilter: methods for filtering genes from high-throughput experiments
- geneplotter-1.84.0 Graphics related functions for Bioconductor
- ggVennDiagram-1.5.2 A ‘ggplot2’ Implement of Venn Diagram
- ggbio-1.54.0 Visualization tools for genomic data
- ggcyto-1.34.0 Visualize Cytometry data with ggplot
- ggdendro-0.2.0 Create Dendrograms and Tree Diagrams Using ‘ggplot2’
- ggnewscale-0.5.1 Multiple Fill and Colour Scales in ‘ggplot2’
- ggpointdensity-0.1.0 A Cross Between a 2D Density Plot and a Scatter Plot
- ggrastr-1.0.2 Rasterize Layers for ‘ggplot2’
- ggtangle-0.0.6 Draw Network with Data
- ggthemes-5.1.0 Extra Themes, Scales and Geoms for ‘ggplot2’
- ggtree-3.14.0 an R package for visualization of tree and annotation data
- glmpath-0.98 L1 Regularization Path for Generalized Linear Models and Cox
Proportional Hazards Model
- graph-1.84.1 graph: A package to handle graph data structures
- gsignal-0.3-7 Signal Processing
- gson-0.1.0 Base Class and Methods for ‘gson’ Format
- gsubfn-0.7 Utilities for Strings and Function Arguments
- hapassoc-1.2-9 Inference of Trait Associations with SNP Haplotypes and Other
Attributes using the EM Algorithm
- haplo.stats-1.9.7 Statistical Analysis of Haplotypes with Traits and Covariates
when Linkage Phase is Ambiguous
- hardhat-1.4.1 Construct Modeling Packages
- hdrcde-3.4 Highest Density Regions and Conditional Density Estimation
- hgu133plus2.db 3.13.0 Package Not Found
- hopach-2.66.0 Hierarchical Ordered Partitioning and Collapsing Hybrid (HOPACH)
- hypergate-0.8.5 Machine Learning of Hyperrectangular Gating Strategies for
High-Dimensional Cytometry
- igraphdata-1.0.1 A Collection of Network Data Sets for the ‘igraph’ Package
- illuminaio-0.48.0 Parsing Illumina Microarray Output Files
- impute-1.80.0 impute: Imputation for microarray data
- inferference-1.0.2 Methods for Causal Inference with Interference
- interactiveDisplayBase-1.44.0 Base package for enabling powerful shiny web displays of Bioconductor objects
- invgamma-1.1 The Inverse Gamma Distribution
- iotools-0.3-5 I/O Tools for Streaming
- its-1.1.8 Irregular Time Series
- karyoploteR-1.32.0 Plot customizable linear genomes displaying arbitrary data
- keyring-1.3.2 Access the System Credential Store from R
- kin.cohort-0.7 Analysis of Kin-Cohort Studies
- knockoff-0.3.6 The Knockoff Filter for Controlled Variable Selection
- kyotil-2024.11-01 Utility Functions for Statistical Analysis Report Generation and
Monte Carlo Studies
- latentnet-2.11.0 Latent Position and Cluster Models for Statistical Networks
- lgr-0.4.4 A Fully Featured Logging Framework
- limma-3.62.2 Linear Models for Microarray and Omics Data
- lintr-3.2.0 A ‘Linter’ for R Code
- lokern-1.1-12 Kernel Regression Smoothing with Local or Global Plug-in
Bandwidth
- lpridge-1.1-0 Local Polynomial (Ridge) Regression
- lpsymphony-1.34.0 Symphony integer linear programming solver in R
- lumi-2.58.0 BeadArray Specific Methods for Illumina Methylation and Expression Microarrays
- maSigPro-1.78.0 Significant Gene Expression Profile Differences in Time Course Gene Expression Data
- mapdata-2.3.1 Extra Map Databases
- marray-1.84.0 Exploratory analysis for two-color spotted microarray data
- metagenomeSeq-1.48.1 Statistical analysis for sparse high-throughput sequencing
- methylKit-1.32.1 DNA methylation analysis from high-throughput bisulfite sequencing results
- methylumi-2.52.0 Handle Illumina methylation data
- minfi-1.52.1 Analyze Illumina Infinium DNA methylation arrays
- mixOmics-6.30.0 Omics Data Integration Project
- mixsqp-0.3-54 Sequential Quadratic Programming for Fast Maximum-Likelihood
Estimation of Mixture Proportions
- mlapi-0.1.1 Abstract Classes for Building ‘scikit-learn’ Like API
- modelenv-0.2.0 Provide Tools to Register Models for Use in ‘tidymodels’
- mondate-1.0 Keep Track of Dates in Terms of Months
- motifmatchr-1.28.0 Fast Motif Matching in R
- msa-1.38.0 Multiple Sequence Alignment
- msigdbr-7.5.1 MSigDB Gene Sets for Multiple Organisms in a Tidy Data Format
- multtest-2.62.0 Resampling-based multiple hypothesis testing
- nanotime-0.3.11 Nanosecond-Resolution Time Support for R
- ncdfFlow-2.52.1 ncdfFlow: A package that provides HDF5 based storage for flow cytometry data.
- networksis-2.1-3 Simulate Bipartite Graphs with Fixed Marginals Through
Sequential Importance Sampling
- numbers-0.8-5 Number-Theoretic Functions
- nws-1.7.0.1 R functions for NetWorkSpaces and Sleigh
- odbc-1.6.0 Connect to ODBC Compatible Databases (using the DBI Interface)
- oligo-1.70.1 Preprocessing tools for oligonucleotide arrays
- oligoClasses-1.68.0 Classes for high-throughput arrays supported by oligo and crlmm
- openCyto-2.18.0 Hierarchical Gating Pipeline for flow cytometry data
- org.Hs.eg.db 3.19.1 Package Not Found
- org.Mm.eg.db 3.19.1 Package Not Found
- pack-0.1-1 Convert values to/from raw vectors
- parsnip-1.3.0 A Common API to Modeling and Analysis Functions
- partools-1.1.6 Tools for the ‘Parallel’ Package
- pathview-1.46.0 a tool set for pathway based data integration and visualization
- paws-0.8.0 Amazon Web Services Software Development Kit
- paws.analytics-0.8.0 ‘Amazon Web Services’ Analytics Services
- paws.application.integration-0.8.0 ‘Amazon Web Services’ Application Integration Services
- paws.common-0.8.2 Paws Low-Level Amazon Web Services API
- paws.compute-0.8.0 ‘Amazon Web Services’ Compute Services
- paws.cost.management-0.8.0 ‘Amazon Web Services’ Cost Management Services
- paws.customer.engagement-0.8.0 ‘Amazon Web Services’ Customer Engagement Services
- paws.database-0.8.0 ‘Amazon Web Services’ Database Services
- paws.developer.tools-0.8.0 ‘Amazon Web Services’ Developer Tools Services
- paws.end.user.computing-0.8.0 ‘Amazon Web Services’ End User Computing Services
- paws.machine.learning-0.8.0 ‘Amazon Web Services’ Machine Learning Services
- paws.management-0.8.0 ‘Amazon Web Services’ Management & Governance Services
- paws.networking-0.8.0 ‘Amazon Web Services’ Networking & Content Delivery Services
- paws.security.identity-0.8.0 ‘Amazon Web Services’ Security, Identity, & Compliance Services
- paws.storage-0.8.0 ‘Amazon Web Services’ Storage Services
- pbs-1.1 Periodic B Splines
- pcaMethods-1.98.0 A collection of PCA methods
- pdist-1.2.1 Partitioned Distance Function
- pedigree-1.4.2 Pedigree Functions
- pedigreemm-0.3-5 Pedigree-Based Mixed-Effects Models
- perm-1.0-0.4 Exact or Asymptotic Permutation Tests
- phyloseq-1.50.0 Handling and analysis of high-throughput microbiome census data
- poisbinom-1.0.1 A Faster Implementation of the Poisson-Binomial Distribution
- polyester-1.39.0 Simulate RNA-seq reads
- polyreg-0.8.0 Polynomial Regression
- poweRlaw-1.0.0 Analysis of Heavy Tailed Distributions
- premessa 0.3.4 Package Not Found
- preprocessCore-1.68.0 A collection of pre-processing functions
- psychotools-0.7-4 Psychometric Modeling Infrastructure
- pwalign-1.2.0 Perform pairwise sequence alignments
- qdapRegex-0.7.8 Regular Expression Removal, Extraction, and Replacement Tools
- qpdf-1.3.4 Split, Combine and Compress PDF Files
- qqconf-1.3.2 Creates Simultaneous Testing Bands for QQ-Plots
- qtl-1.70 Tools for Analyzing QTL Experiments
- quantoptr-0.1.3 Algorithms for Quantile- And Mean-Optimal Treatment Regimes
- quantsmooth-1.72.0 Quantile smoothing and genomic visualization of array data
- qvalue-2.38.0 Q-value estimation for false discovery rate control
- qvcalc-1.0.4 Quasi Variances for Factor Effects in Statistical Models
- r2d3-0.2.6 Interface to ‘D3’ Visualizations
- rGADEM-2.54.0 de novo motif discovery
- rainbow-3.8 Bagplots, Boxplots and Rainbow Plots for Functional Data
- rbenchmark-1.0.0 Benchmarking routine for R
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- IlluminaHumanMethylationEPICanno.ilm10b4.hg19 0.6.0 Package Not Found
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- IlluminaHumanMethylationEPICv2manifest 1.0.0 Package Not Found
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- JBTools-0.7.2.9 Misc Small Tools and Helper Functions for Other Code of J.
Buttlar
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- PKI-0.1-14 Public Key Infrastucture for R Based on the X.509 Standard
- PMA-1.2-4 Penalized Multivariate Analysis
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- PSMatch-1.10.0 Handling and Managing Peptide Spectrum Matches
- PWEALL-1.3.0.1 Design and Monitoring of Survival Trials Accounting for Complex
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- ParamHelpers-1.14.1 Helpers for Parameters in Black-Box Optimization, Tuning and
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- RCurl-1.98-1.16 General Network (HTTP/FTP/…) Client Interface for R
- RFOC-3.4-10 Graphics for Spherical Distributions and Earthquake Focal
Mechanisms
- RGCCA-3.0.3 Regularized and Sparse Generalized Canonical Correlation
Analysis for Multiblock Data
- RInside-0.2.18 C++ Classes to Embed R in C++ (and C) Applications
- RItools-0.3-4 Randomization Inference Tools
- RJSONIO-1.3-1.9 Serialize R Objects to JSON, JavaScript Object Notation
- RMTstat-0.3.1 Distributions, Statistics and Tests Derived from Random Matrix
Theory
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- RNeXML-2.4.11 Semantically Rich I/O for the ‘NeXML’ Format
- RNifti-1.7.0 Fast R and C++ Access to NIfTI Images
- ROC-1.82.0 utilities for ROC, with microarray focus
- ROCR-1.0-11 Visualizing the Performance of Scoring Classifiers
- ROI-1.0-1 R Optimization Infrastructure
- ROI.plugin.glpk-1.0-0 ‘ROI’ Plug-in ‘GLPK’
- ROntoTools-2.34.0 R Onto-Tools suite
- RPMG-2.2-7 Graphical User Interface (GUI) for Interactive R Analysis
Sessions
- RPMM-1.25 Recursively Partitioned Mixture Model
- RPostgreSQL-0.7-7 R Interface to the ‘PostgreSQL’ Database System
- RProtoBufLib-2.18.0 C++ headers and static libraries of Protocol buffers
- RPushbullet-0.3.4 R Interface to the Pushbullet Messaging Service
- RSEIS-4.2-4 Seismic Time Series Analysis Tools
- RSNNS-0.4-17 Neural Networks using the Stuttgart Neural Network Simulator
(SNNS)
- RSQLite-2.3.8 SQLite Interface for R
- RSpectra-0.16-2 Solvers for Large-Scale Eigenvalue and SVD Problems
- RUnit-0.4.33 R Unit Test Framework
- RWeka-0.4-46 R/Weka Interface
- RWekajars-3.9.3-2 R/Weka Interface Jars
- Rborist-0.3-7 Extensible, Parallelizable Implementation of the Random Forest
Algorithm
- Rcgmin-2022-4.30 Conjugate Gradient Minimization of Nonlinear Functions with Box
Constraints
- RcisTarget-1.26.0 RcisTarget Identify transcription factor binding motifs enriched on a list of genes or genomic regions
- Rcpp-1.0.13-1 Seamless R and C++ Integration
- RcppAnnoy-0.0.22 ‘Rcpp’ Bindings for ‘Annoy’, a Library for Approximate Nearest
Neighbors
- RcppArmadillo-14.2.0-1 ‘Rcpp’ Integration for the ‘Armadillo’ Templated Linear Algebra
Library
- RcppEigen-0.3.4.0.2 ‘Rcpp’ Integration for the ‘Eigen’ Templated Linear Algebra
Library
- RcppGSL-0.3.13 ‘Rcpp’ Integration for ‘GNU GSL’ Vectors and Matrices
- RcppHNSW-0.6.0 ‘Rcpp’ Bindings for ‘hnswlib’, a Library for Approximate Nearest
Neighbors
- RcppML-0.3.7 Rcpp Machine Learning Library
- RcppParallel-5.1.9 Parallel Programming Tools for ‘Rcpp’
- RcppProgress-0.4.2 An Interruptible Progress Bar with OpenMP Support for C++ in R
Packages
- RcppRoll-0.3.1 Efficient Rolling / Windowed Operations
- RcppTOML-0.2.2 ‘Rcpp’ Bindings to Parser for “Tom’s Obvious Markup Language”
- RcppThread-2.1.7 R-Friendly Threading in C++
- RcppZiggurat-0.1.6 ‘Rcpp’ Integration of Different “Ziggurat” Normal RNG
Implementations
- Rdpack-2.6.2 Update and Manipulate Rd Documentation Objects
- ReactomePA-1.50.0 Reactome Pathway Analysis
- RefFreeEWAS-2.2 EWAS using Reference-Free DNA Methylation Mixture Deconvolution
- Repitools-1.52.0 Epigenomic tools
- ReportingTools-2.46.0 Tools for making reports in various formats
- ResidualMatrix-1.16.0 Creating a DelayedMatrix of Regression Residuals
- Rfast-2.1.0 A Collection of Efficient and Extremely Fast R Functions
- Rglpk-0.6-5.1 R/GNU Linear Programming Kit Interface
- Rgraphviz-2.50.0 Provides plotting capabilities for R graph objects
- Rhdf5lib-1.28.0 hdf5 library as an R package
- RhpcBLASctl-0.23-42 Control the Number of Threads on ‘BLAS’
- Rhtslib-3.2.0 HTSlib high-throughput sequencing library as an R package
- Rmpfr-1.0-0 Interface R to MPFR - Multiple Precision Floating-Point Reliable
- RnBeads-2.24.0 RnBeads
- RnBeads.hg19 1.38.0 Package Not Found
- RnBeads.hg38 1.38.0 Package Not Found
- RnBeads.mm10 2.14.0 Package Not Found
- RnBeads.mm9 1.38.0 Package Not Found
- RnBeads.rn5 1.38.0 Package Not Found
- Rook-1.2 HTTP Web Server for R
- Rsamtools-2.22.0 Binary alignment (BAM), FASTA, variant call (BCF), and tabix file import
- Rserve-1.8-13 Versatile R Server
- Rsolnp-1.16 General Non-Linear Optimization
- Rssa-1.1 A Collection of Methods for Singular Spectrum Analysis
- Rsubread-2.20.0 Mapping, quantification and variant analysis of sequencing data
- Rtsne-0.17 T-Distributed Stochastic Neighbor Embedding using a Barnes-Hut
Implementation
- Rttf2pt1-1.3.12 ‘ttf2pt1’ Program
- Rvmmin-2018-4.17.1 Variable Metric Nonlinear Function Minimization
- Rwave-2.6-5 Time-Frequency Analysis of 1-D Signals
- S4Arrays-1.6.0 Foundation of array-like containers in Bioconductor
- S4Vectors-0.44.0 Foundation of vector-like and list-like containers in Bioconductor
- SBdecomp-1.2 Estimation of the Proportion of SB Explained by Confounders
- SC3-1.34.0 Single-Cell Consensus Clustering
- SCANVIS-1.20.0 SCANVIS - a tool for SCoring, ANnotating and VISualizing splice junctions
- SDMTools-1.1-221.2 Species Distribution Modelling Tools: Tools for processing data
associated with species distribution modelling exercises
- SKAT-2.2.5 SNP-Set (Sequence) Kernel Association Test
- SMVar-1.3.4 Structural Model for Variances
- SNFtool-2.3.1 Similarity Network Fusion
- SNPRelate-1.40.0 Parallel Computing Toolset for Relatedness and Principal Component Analysis of SNP Data
- SOAR-0.99-11 Memory management in R by delayed assignments
- SPAtest-3.1.2 Score Test and Meta-Analysis Based on Saddlepoint Approximation
- SPIA-2.58.0 Signaling Pathway Impact Analysis (SPIA) using combined evidence of pathway over-representation and unusual signaling perturbations
- SPOTlight-1.10.0
SPOTlight: Spatial Transcriptomics Deconvolution
- SQUAREM-2021.1 Squared Extrapolation Methods for Accelerating EM-Like Monotone
Algorithms
- SamSPECTRAL-1.60.0 Identifies cell population in flow cytometry data
- ScaledMatrix-1.14.0 Creating a DelayedMatrix of Scaled and Centered Values
- SeqArray-1.46.0 Data Management of Large-Scale Whole-Genome Sequence Variant Calls
- SeqVarTools-1.44.0 Tools for variant data
- Seurat-5.1.0 Tools for Single Cell Genomics
- SeuratObject-5.0.2 Data Structures for Single Cell Data
- ShortRead-1.64.0 FASTQ input and manipulation
- Signac-1.14.0 Analysis of Single-Cell Chromatin Data
- SignifReg-4.3 Consistent Significance Controlled Variable Selection in
Generalized Linear Regression
- SimBu-1.8.0 Simulate Bulk RNA-seq Datasets from Single-Cell Datasets
- SimDesign-2.17.1 Structure for Organizing Monte Carlo Simulation Designs
- SimSeq-1.4.0 Nonparametric Simulation of RNA-Seq Data
- SingleCellExperiment-1.28.1 S4 Classes for Single Cell Data
- SingleR-2.8.0 Reference-Based Single-Cell RNA-Seq Annotation
- SnowballC-0.7.1 Snowball Stemmers Based on the C ‘libstemmer’ UTF-8 Library
- SparseArray-1.6.0 High-performance sparse data representation and manipulation in R
- SparseM-1.84-2 Sparse Linear Algebra
- SpatialExperiment-1.16.0 S4 Class for Spatially Resolved -omics Data
- Spectra-1.16.0 Spectra Infrastructure for Mass Spectrometry Data
- StanHeaders-2.32.10 C++ Header Files for Stan
- StatMatch-1.4.2 Statistical Matching or Data Fusion
- SummarizedExperiment-1.36.0 A container (S4 class) for matrix-like assays
- SuperLearner-2.0-29 Super Learner Prediction
- SuppDists-1.1-9.8 Supplementary Distributions
- TFBSTools-1.44.0 Software Package for Transcription Factor Binding Site (TFBS) Analysis
- TFMPvalue-0.0.9 Efficient and Accurate P-Value Computation for Position Weight
Matrices
- TFisher-0.2.0 Optimal Thresholding Fisher’s P-Value Combination Method
- TH.data-1.1-2 TH’s Data Archive
- TMB-1.9.15 Template Model Builder: A General Random Effect Tool Inspired by
‘ADMB’
- TSP-1.2-4 Traveling Salesperson Problem (TSP)
- TTR-0.24.4 Technical Trading Rules
- TailRank-3.2.2 The Tail-Rank Statistic
- TeachingDemos-2.13 Demonstrations for Teaching and Learning
- TraMineR-2.2-10 Trajectory Miner: a Sequence Analysis Toolkit
- TrajectoryUtils-1.14.0 Single-Cell Trajectory Analysis Utilities
- TreeSummarizedExperiment-2.14.0 TreeSummarizedExperiment: a S4 Class for Data with Tree Structures
- TruncatedNormal-2.3 Truncated Multivariate Normal and Student Distributions
- TxDb.Hsapiens.UCSC.hg19.knownGene 3.2.2 Package Not Found
- TxDb.Mmusculus.UCSC.mm10.knownGene 3.10.0 Package Not Found
- UCSC.utils-1.2.0 Low-level utilities to retrieve data from the UCSC Genome Browser
- UCell-2.10.1 Rank-based signature enrichment analysis for single-cell data
- UpSetR-1.4.0 A More Scalable Alternative to Venn and Euler Diagrams for
Visualizing Intersecting Sets
- V8-6.0.0 Embedded JavaScript and WebAssembly Engine for R
- VGAM-1.1-12 Vector Generalized Linear and Additive Models
- VIM-6.2.2 Visualization and Imputation of Missing Values
- VSURF-1.2.0 Variable Selection Using Random Forests
- VariantAnnotation-1.52.0 Annotation of Genetic Variants
- VennDiagram-1.7.3 Generate High-Resolution Venn and Euler Plots
- VineCopula-2.5.1 Statistical Inference of Vine Copulas
- WGCNA-1.73 Weighted Correlation Network Analysis
- WeightSVM-1.7-16 Subject Weighted Support Vector Machines
- WikidataQueryServiceR-1.0.0 API Client Library for ‘Wikidata Query Service’
- WikidataR-2.3.3 Read-Write API Client Library for Wikidata
- WikipediR-1.7.1 A MediaWiki API Wrapper
- Wrench-1.24.0 Wrench normalization for sparse count data
- WriteXLS-6.7.0 Cross-Platform Perl Based R Function to Create Excel 2003 (XLS)
and Excel 2007 (XLSX) Files
- XBRL-0.99.19.1 Extraction of Business Financial Information from ‘XBRL’
Documents
- XML-3.99-0.17 Tools for Parsing and Generating XML Within R and S-Plus
- XVector-0.46.0 Foundation of external vector representation and manipulation in Bioconductor
- abc-2.2.1 Tools for Approximate Bayesian Computation (ABC)
- abc.data-1.1 Data Only: Tools for Approximate Bayesian Computation (ABC)
- abe-3.0.1 Augmented Backward Elimination
- abind-1.4-8 Combine Multidimensional Arrays
- acepack-1.4.2 ACE and AVAS for Selecting Multiple Regression Transformations
- adabag-5.0 Applies Multiclass AdaBoost.M1, SAMME and Bagging
- ade4-1.7-22 Analysis of Ecological Data: Exploratory and Euclidean Methods
in Environmental Sciences
- admisc-0.36 Adrian Dusa’s Miscellaneous
- affxparser-1.78.0 Affymetrix File Parsing SDK
- affy-1.84.0 Methods for Affymetrix Oligonucleotide Arrays
- affycoretools-1.78.0 Functions useful for those doing repetitive analyses with Affymetrix GeneChips
- affyio-1.76.0 Tools for parsing Affymetrix data files
- aggregation-1.0.1 p-Value Aggregation Methods
- agricolae-1.3-7 Statistical Procedures for Agricultural Research
- akima-0.6-3.4 Interpolation of Irregularly and Regularly Spaced Data
- alabama-2023.1.0 Constrained Nonlinear Optimization
- alluvial-0.1-2 Alluvial Diagrams
- animation-2.7 A Gallery of Animations in Statistics and Utilities to Create
Animations
- annaffy-1.78.0 Annotation tools for Affymetrix biological metadata
- annotate-1.84.0 Annotation for microarrays
- anytime-0.3.9 Anything to ‘POSIXct’ or ‘Date’ Converter
- aod-1.3.3 Analysis of Overdispersed Data
- apcluster-1.4.13 Affinity Propagation Clustering
- ape-5.8 Analyses of Phylogenetics and Evolution
- aplot-0.2.3 Decorate a ‘ggplot’ with Associated Information
- argparse-2.2.4 Command Line Optional and Positional Argument Parser
- aricode-1.0.3 Efficient Computations of Standard Clustering Comparison
Measures
- arm-1.14-4 Data Analysis Using Regression and Multilevel/Hierarchical
Models
- aroma.affymetrix-3.2.2 Analysis of Large Affymetrix Microarray Data Sets
- aroma.apd-0.7.0 A Probe-Level Data File Format Used by ‘aroma.affymetrix’
[deprecated]
- aroma.core-3.3.1 Core Methods and Classes Used by ‘aroma.*’ Packages Part of the
Aroma Framework
- aroma.light-3.36.0 Light-Weight Methods for Normalization and Visualization of Microarray Data using Only Basic R Data Types
- arrayhelpers-1.1-0 Convenience Functions for Arrays
- ash-1.0-15 David Scott’s ASH Routines
- askpass-1.2.1 Password Entry Utilities for R, Git, and SSH
- asnipe-1.1.17 Animal Social Network Inference and Permutations for Ecologists
- assertive-0.3-6 Readable Check Functions to Ensure Code Integrity
- assertive.base-0.0-9 A Lightweight Core of the ‘assertive’ Package
- assertive.code-0.0-4 Assertions to Check Properties of Code
- assertive.data-0.0-3 Assertions to Check Properties of Data
- assertive.data.uk-0.0-2 Assertions to Check Properties of Strings
- assertive.data.us-0.0-2 Assertions to Check Properties of Strings
- assertive.datetimes-0.0-3 Assertions to Check Properties of Dates and Times
- assertive.files-0.0-2 Assertions to Check Properties of Files
- assertive.matrices-0.0-2 Assertions to Check Properties of Matrices
- assertive.models-0.0-2 Assertions to Check Properties of Models
- assertive.numbers-0.0-2 Assertions to Check Properties of Numbers
- assertive.properties-0.0-5 Assertions to Check Properties of Variables
- assertive.reflection-0.0-5 Assertions for Checking the State of R
- assertive.sets-0.0-3 Assertions to Check Properties of Sets
- assertive.strings-0.0-3 Assertions to Check Properties of Strings
- assertive.types-0.0-3 Assertions to Check Types of Variables
- assertthat-0.2.1 Easy Pre and Post Assertions
- assorthead-1.0.0 Assorted Header-Only C++ Libraries
- audio-0.1-11 Audio Interface for R
- aws-2.5-6 Adaptive Weights Smoothing
- aws.s3-0.3.21 ‘AWS S3’ Client Package
- aws.signature-0.6.0 Amazon Web Services Request Signatures
- awsMethods-1.1-1 Class and Methods Definitions for Packages ‘aws’, ‘adimpro’,
‘fmri’, ‘dwi’
- babelgene-22.9 Gene Orthologs for Model Organisms in a Tidy Data Format
- backports-1.5.0 Reimplementations of Functions Introduced Since R-3.0.0
- bacr-1.0.1 Bayesian Adjustment for Confounding
- ballgown-2.38.0 Flexible, isoform-level differential expression analysis
- bartMachine-1.3.4.1 Bayesian Additive Regression Trees
- bartMachineJARs-1.2.1 bartMachine JARs
- base built in
- base64-2.0.2 Base64 Encoder and Decoder
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- batchelor-1.22.0 Single-Cell Batch Correction Methods
- batchmeans-1.0-4 Consistent Batch Means Estimation of Monte Carlo Standard Errors
- baySeq-2.40.0 Empirical Bayesian analysis of patterns of differential expression in count data
- bayesm-3.1-6 Bayesian Inference for Marketing/Micro-Econometrics
- bayesplot-1.11.1 Plotting for Bayesian Models
- bayestestR-0.15.0 Understand and Describe Bayesian Models and Posterior
Distributions
- bbmle-1.0.25.1 Tools for General Maximum Likelihood Estimation
- bdsmatrix-1.3-7 Routines for Block Diagonal Symmetric Matrices
- beachmat-2.22.0 Compiling Bioconductor to Handle Each Matrix Type
- beanplot-1.3.1 Visualization via Beanplots (Like Boxplot/Stripchart/Violin
Plot)
- beepr-2.0 Easily Play Notification Sounds on any Platform
- beeswarm-0.4.0 The Bee Swarm Plot, an Alternative to Stripchart
- berryFunctions-1.22.5 Function Collection Related to Plotting and Hydrology
- betareg-3.2-1 Beta Regression
- bibtex-0.5.1 Bibtex Parser
- bigD-0.3.0 Flexibly Format Dates and Times to a Given Locale
- bigmemory-4.6.4 Manage Massive Matrices with Shared Memory and Memory-Mapped
Files
- bigmemory.sri-0.1.8 A Shared Resource Interface for Bigmemory Project Packages
- bindr-0.1.2 Parametrized Active Bindings
- bindrcpp-0.2.3 An ‘Rcpp’ Interface to Active Bindings
- bio3d-2.4-5 Biological Structure Analysis
- biom-0.3.12 An interface package (beta) for the BIOM file format.
- biomaRt-2.62.0 Interface to BioMart databases (i.e. Ensembl)
- biomformat-1.34.0 An interface package for the BIOM file format
- biomod2-4.2-5-2 Ensemble Platform for Species Distribution Modeling
- biovizBase-1.54.0 Basic graphic utilities for visualization of genomic data.
- bit-4.5.0 Classes and Methods for Fast Memory-Efficient Boolean Selections
- bit64-4.5.2 A S3 Class for Vectors of 64bit Integers
- bitops-1.0-9 Bitwise Operations
- blavaan-0.5-6 Bayesian Latent Variable Analysis
- blme-1.0-6 Bayesian Linear Mixed-Effects Models
- blob-1.2.4 A Simple S3 Class for Representing Vectors of Binary Data
(‘BLOBS’)
- bluster-1.16.0 Clustering Algorithms for Bioconductor
- bmp-0.3 Read Windows Bitmap (BMP) Images
- bnlearn-5.0.1 Bayesian Network Structure Learning, Parameter Learning and
Inference
- bold-1.3.0 Interface to Bold Systems API
- bookdown-0.41 Authoring Books and Technical Documents with R Markdown
- boot-1.3-31 Bootstrap Functions (Originally by Angelo Canty for S)
- bootstrap-2019.6 Functions for the Book “An Introduction to the Bootstrap”
- brew-1.0-10 Templating Framework for Report Generation
- brglm-0.7.2 Bias Reduction in Binomial-Response Generalized Linear Models
- bridgedist-0.1.3 An Implementation of the Bridge Distribution with Logit-Link as
in Wang and Louis (2003)
- bridgesampling-1.1-2 Bridge Sampling for Marginal Likelihoods and Bayes Factors
- brio-1.1.5 Basic R Input Output
- brms-2.22.0 Bayesian Regression Models using ‘Stan’
- broom-1.0.7 Convert Statistical Objects into Tidy Tibbles
- broom.helpers-1.17.0 Helpers for Model Coefficients Tibbles
- broom.mixed-0.2.9.6 Tidying Methods for Mixed Models
- bslib-0.8.0 Custom ‘Bootstrap’ ‘Sass’ Themes for ‘shiny’ and ‘rmarkdown’
- bsseq-1.42.0 Analyze, manage and store whole-genome methylation data
- bst-0.3-24 Gradient Boosting
- bumphunter-1.48.0 Bump Hunter
- cNORM-3.4.0 Continuous Norming
- cSEM-0.5.0 Composite-Based Structural Equation Modeling
- ca-0.71.1 Simple, Multiple and Joint Correspondence Analysis
- caTools-1.18.3 Tools: Moving Window Statistics, GIF, Base64, ROC AUC, etc
- cachem-1.1.0 Cache R Objects with Automatic Pruning
- calibrate-1.7.7 Calibration of Scatterplot and Biplot Axes
- callr-3.7.6 Call R from R
- car-3.1-3 Companion to Applied Regression
- carData-3.0-5 Companion to Applied Regression Data Sets
- cards-0.3.0 Analysis Results Data
- caret-6.0-94 Classification and Regression Training
- catlearn-1.0 Formal Psychological Models of Categorization and Learning
- ccdata 1.32.0 Package Not Found
- ccmap-1.32.0 Combination Connectivity Mapping
- celestial-1.4.6 Collection of Common Astronomical Conversion Routines and
Functions
- cellranger-1.1.0 Translate Spreadsheet Cell Ranges to Rows and Columns
- cgdsr-1.3.0 R-Based API for Accessing the MSKCC Cancer Genomics Data Server
(CGDS)
- cghFLasso-0.2-1 Detecting hot spot on CGH array data with fused lasso<U+000a>regression.
- changepoint-2.3 Methods for Changepoint Detection
- checkmate-2.3.2 Fast and Versatile Argument Checks
- chemometrics-1.4.4 Multivariate Statistical Analysis in Chemometrics
- chk-0.9.2 Check User-Supplied Function Arguments
- chkptstanr-0.1.1 Checkpoint MCMC Sampling with ‘Stan’
- chromVAR-1.28.0 Chromatin Variation Across Regions
- chron-2.3-61 Chronological Objects which Can Handle Dates and Times
- circlize-0.4.16 Circular Visualization
- circular-0.5-1 Circular Statistics
- clValid-0.7 Validation of Clustering Results
- class-7.3-22 Functions for Classification
- classInt-0.4-10 Choose Univariate Class Intervals
- cld2-1.2.5 Google’s Compact Language Detector 2
- cli-3.6.3 Helpers for Developing Command Line Interfaces
- clipr-0.8.0 Read and Write from the System Clipboard
- clisymbols-1.2.0 Unicode Symbols at the R Prompt
- clock-0.7.1 Date-Time Types and Tools
- clue-0.3-66 Cluster Ensembles
- cluster-2.1.6 “Finding Groups in Data”: Cluster Analysis Extended Rousseeuw et
al.
- clusterGeneration-1.3.8 Random Cluster Generation (with Specified Degree of Separation)
- clusterProfiler-4.14.3 A universal enrichment tool for interpreting omics data
- clusterRepro-0.9 Reproducibility of Gene Expression Clusters
- clustree-0.5.1 Visualise Clusterings at Different Resolutions
- cmna-1.0.5 Computational Methods for Numerical Analysis
- cmprsk-2.2-12 Subdistribution Analysis of Competing Risks
- cobalt-4.5.5 Covariate Balance Tables and Plots
- cobs-1.3-8 Constrained B-Splines (Sparse Matrix Based)
- coda-0.19-4.1 Output Analysis and Diagnostics for MCMC
- codetools-0.2-20 Code Analysis Tools for R
- coin-1.4-3 Conditional Inference Procedures in a Permutation Test Framework
- collapse-2.0.18 Advanced and Fast Data Transformation
- coloc-5.2.3 Colocalisation Tests of Two Genetic Traits
- colorRamps-2.3.4 Builds Color Tables
- colorspace-2.1-1 A Toolbox for Manipulating and Assessing Colors and Palettes
- colourpicker-1.3.0 A Colour Picker Tool for Shiny and for Selecting Colours in
Plots
- combinat-0.0-8 combinatorics utilities
- commonmark-1.9.2 High Performance CommonMark and Github Markdown Rendering in R
- compiler built in
- compositions-2.0-8 Compositional Data Analysis
- conditionz-0.1.0 Control How Many Times Conditions are Thrown
- conflicted-1.2.0 An Alternative Conflict Resolution Strategy
- conquer-1.3.3 Convolution-Type Smoothed Quantile Regression
- contfrac-1.1-12 Continued Fractions
- conumee-1.40.0 Enhanced copy-number variation analysis using Illumina DNA methylation arrays
- copCAR-2.0-4 Fitting the copCAR Regression Model for Discrete Areal Data
- copula-1.1-4 Multivariate Dependence with Copulas
- corpcor-1.6.10 Efficient Estimation of Covariance and (Partial) Correlation
- corrplot-0.95 Visualization of a Correlation Matrix
- covr-3.6.4 Test Coverage for Packages
- covsim-1.1.0 VITA, IG and PLSIM Simulation for Given Covariance and Marginals
- cowplot-1.1.3 Streamlined Plot Theme and Plot Annotations for ‘ggplot2’
- coxed-0.3.3 Duration-Based Quantities of Interest for the Cox Proportional
Hazards Model
- coxme-2.2-22 Mixed Effects Cox Models
- cpp11-0.5.0 A C++11 Interface for R’s C Interface
- crayon-1.5.3 Colored Terminal Output
- credentials-2.0.2 Tools for Managing SSH and Git Credentials
- crfsuite-0.4.2 Conditional Random Fields for Labelling Sequential Data in
Natural Language Processing
- crosstalk-1.2.1 Inter-Widget Interactivity for HTML Widgets
- crul-1.5.0 HTTP Client
- csSAM-1.2.4 csSAM - cell-specific Significance Analysis of Microarrays
- ctmle-0.1.2 Collaborative Targeted Maximum Likelihood Estimation
- cubature-2.1.1 Adaptive Multivariate Integration over Hypercubes
- cubelyr-1.0.2 A Data Cube ‘dplyr’ Backend
- cummeRbund-2.48.0 Analysis, exploration, manipulation, and visualization of Cufflinks high-throughput sequencing data.
- curl-6.0.1 A Modern and Flexible Web Client for R
- cvAUC-1.1.4 Cross-Validated Area Under the ROC Curve Confidence Intervals
- cytolib-2.18.0 C++ infrastructure for representing and interacting with the gated cytometry data
- d3Network-0.5.2.1 Tools for creating D3 JavaScript network, tree, dendrogram, and<U+000a>Sankey graphs from R
- dHSIC-2.1 Independence Testing via Hilbert Schmidt Independence Criterion
- dada2-1.34.0 Accurate, high-resolution sample inference from amplicon sequencing data
- dagitty-0.3-4 Graphical Analysis of Structural Causal Models
- data.table-1.16.2 Extension of
data.frame
- data.tree-1.1.0 General Purpose Hierarchical Data Structure
- datasets built in
- datawizard-0.13.0 Easy Data Wrangling and Statistical Transformations
- date-1.2-42 Functions for Handling Dates
- dbarts-0.9-28 Discrete Bayesian Additive Regression Trees Sampler
- dbplyr-2.5.0 A ‘dplyr’ Back End for Databases
- dbscan-1.2-0 Density-Based Spatial Clustering of Applications with Noise
(DBSCAN) and Related Algorithms
- dcurver-0.9.2 Utility Functions for Davidian Curves
- ddPCRclust-1.26.0 Clustering algorithm for ddPCR data
- ddalpha-1.3.16 Depth-Based Classification and Calculation of Data Depth
- deSolve-1.40 Solvers for Initial Value Problems of Differential Equations
(‘ODE’, ‘DAE’, ‘DDE’)
- deal-1.2-42 Learning Bayesian Networks with Mixed Variables
- debugme-1.2.0 Debug R Packages
- decontam-1.26.0 Identify Contaminants in Marker-gene and Metagenomics Sequencing Data
- decoupleR-2.12.0 decoupleR: Ensemble of computational methods to infer biological activities from omics data
- deldir-2.0-4 Delaunay Triangulation and Dirichlet (Voronoi) Tessellation
- dendextend-1.19.0 Extending ‘dendrogram’ Functionality in R
- densEstBayes-1.0-2.2 Density Estimation via Bayesian Inference Engines
- derfinder-1.40.0 Annotation-agnostic differential expression analysis of RNA-seq data at base-pair resolution via the DER Finder approach
- derfinderHelper-1.40.0 derfinder helper package
- desc-1.4.3 Manipulate DESCRIPTION Files
- devtools-2.4.5 Tools to Make Developing R Packages Easier
- dfidx-0.1-0 Indexed Data Frames
- diagram-1.6.5 Functions for Visualising Simple Graphs (Networks), Plotting
Flow Diagrams
- dichromat-2.0-0.1 Color Schemes for Dichromats
- diffcyt-1.26.0 Differential discovery in high-dimensional cytometry via high-resolution clustering
- diffobj-0.3.5 Diffs for R Objects
- digest-0.6.37 Create Compact Hash Digests of R Objects
- dimRed-0.2.6 A Framework for Dimensionality Reduction
- diptest-0.77-1 Hartigan’s Dip Test Statistic for Unimodality - Corrected
- dir.expiry-1.14.0 Managing Expiration for Cache Directories
- directlabels-2024.1.21 Direct Labels for Multicolor Plots
- dismo-1.3-14 Species Distribution Modeling
- distillery-1.2-1 Method Functions for Confidence Intervals and to Distill
Information from an Object
- distr-2.9.5 Object Oriented Implementation of Distributions
- distrEx-2.9.5 Extensions of Package ‘distr’
- distributional-0.5.0 Vectorised Probability Distributions
- diveRsity-1.9.90 A Comprehensive, General Purpose Population Genetics Analysis
Package
- dlm-1.1-6.1 Bayesian and Likelihood Analysis of Dynamic Linear Models
- doBy-4.6.24 Groupwise Statistics, LSmeans, Linear Estimates, Utilities
- doMC-1.3.8 Foreach Parallel Adaptor for ‘parallel’
- doParallel-1.0.17 Foreach Parallel Adaptor for the ‘parallel’ Package
- doRNG-1.8.6 Generic Reproducible Parallel Backend for ‘foreach’ Loops
- doSNOW-1.0.20 Foreach Parallel Adaptor for the ‘snow’ Package
- doc2vec-0.2.0 Distributed Representations of Sentences, Documents and Topics
- docopt-0.7.1 Command-Line Interface Specification Language
- docstring-1.0.0 Provides Docstring Capabilities to R Functions
- dotCall64-1.2 Enhanced Foreign Function Interface Supporting Long Vectors
- downlit-0.4.4 Syntax Highlighting and Automatic Linking
- downloader-0.4 Download Files over HTTP and HTTPS
- dplyr-1.1.4 A Grammar of Data Manipulation
- dqrng-0.4.1 Fast Pseudo Random Number Generators
- dr-3.0.10 Methods for Dimension Reduction for Regression
- dreamerr-1.4.0 Error Handling Made Easy
- drgee-1.1.10 Doubly Robust Generalized Estimating Equations
- drugCombo-1.2.1 Drug Interaction Modeling Based on Loewe Additivity Following
Harbron’s Approach
- dtangle-2.0.9 Cell Type Deconvolution from Gene Expressions
- dtplyr-1.3.1 Data Table Back-End for ‘dplyr’
- dtw-1.23-1 Dynamic Time Warping Algorithms
- dummies-1.5.6 Create dummy/indicator variables flexibly and efficiently
- dupRadar-1.36.0 Assessment of duplication rates in RNA-Seq datasets
- dygraphs-1.1.1.6 Interface to ‘Dygraphs’ Interactive Time Series Charting Library
- dynamicTreeCut-1.63-1 Methods for Detection of Clusters in Hierarchical Clustering
Dendrograms
- e1071-1.7-16 Misc Functions of the Department of Statistics, Probability
Theory Group (Formerly: E1071), TU Wien
- earth-5.3.4 Multivariate Adaptive Regression Splines
- edgeR-4.4.0 Empirical Analysis of Digital Gene Expression Data in R
- egg-0.4.5 Extensions for ‘ggplot2’: Custom Geom, Custom Themes, Plot
Alignment, Labelled Panels, Symmetric Scales, and Fixed Panel
Size
- ellipse-0.5.0 Functions for Drawing Ellipses and Ellipse-Like Confidence
Regions
- ellipsis-0.3.2 Tools for Working with …
- elliptic-1.4-0 Weierstrass and Jacobi Elliptic Functions
- emdbook-1.3.13 Support Functions and Data for “Ecological Models and Data”
- emmeans-1.10.5 Estimated Marginal Means, aka Least-Squares Means
- emoa-0.5-3 Evolutionary Multiobjective Optimization Algorithms
- emulator-1.2-24 Bayesian Emulation of Computer Programs
- energy-1.7-12 E-Statistics: Multivariate Inference via the Energy of Data
- enrichplot-1.26.2 Visualization of Functional Enrichment Result
- ensembldb-2.30.0 Utilities to create and use Ensembl-based annotation databases
- entropy-1.3.1 Estimation of Entropy, Mutual Information and Related Quantities
- epitools-0.5-10.1 Epidemiology Tools
- ergm-4.7.5 Fit, Simulate and Diagnose Exponential-Family Models for
Networks
- ergm.count-4.1.2 Fit, Simulate and Diagnose Exponential-Family Models for
Networks with Count Edges
- ergm.multi-0.2.1.1 Fit, Simulate and Diagnose Exponential-Family Models for
Multiple or Multilayer Networks
- escape-2.2.1 Easy single cell analysis platform for enrichment
- estimability-1.5.1 Tools for Assessing Estimability of Linear Predictions
- evaluate-1.0.1 Parsing and Evaluation Tools that Provide More Details than the
Default
- evd-2.3-7.1 Functions for Extreme Value Distributions
- expm-1.0-0 Matrix Exponential, Log, ‘etc’
- expsmooth-2.3 Data Sets from “Forecasting with Exponential Smoothing”
- extRemes-2.1-4 Extreme Value Analysis
- extraDistr-1.10.0 Additional Univariate and Multivariate Distributions
- extrafont-0.19 Tools for Using Fonts
- extrafontdb-1.0 Package for holding the database for the extrafont package
- fANCOVA-0.6-1 Nonparametric Analysis of Covariance
- factoextra-1.0.7 Extract and Visualize the Results of Multivariate Data Analyses
- fail-1.3 File Abstraction Interface Layer (FAIL)
- fansi-1.0.6 ANSI Control Sequence Aware String Functions
- farver-2.1.2 High Performance Colour Space Manipulation
- fastDummies-1.7.4 Fast Creation of Dummy (Binary) Columns and Rows from
Categorical Variables
- fastICA-1.2-5.1 FastICA Algorithms to Perform ICA and Projection Pursuit
- fastcluster-1.2.6 Fast Hierarchical Clustering Routines for R and ‘Python’
- fasterize-1.1.0 Fast Polygon to Raster Conversion
- fastlogranktest-0.2.1 A Fast Way to Calculate the p-Value of One or Multiple
Log-Rank-Tests
- fastmap-1.2.0 Fast Data Structures
- fastmatch-1.1-4 Fast ‘match()’ Function
- fda-6.2.0 Functional Data Analysis
- fdrtool-1.2.18 Estimation of (Local) False Discovery Rates and Higher Criticism
- fds-1.8 Functional Data Sets
- feather-0.3.5 R Bindings to the Feather ‘API’
- feature-1.2.15 Local Inferential Feature Significance for Multivariate Kernel
Density Estimation
- ff-4.5.0 Memory-Efficient Storage of Large Data on Disk and Fast Access
Functions
- fftw-1.0-9 Fast FFT and DCT Based on the FFTW Library
- fftwtools-0.9-11 Wrapper for ‘FFTW3’ Includes: One-Dimensional, Two-Dimensional,
Three-Dimensional, and Multivariate Transforms
- fgsea-1.32.0 Fast Gene Set Enrichment Analysis
- fields-16.3 Tools for Spatial Data
- filehash-2.4-6 Simple Key-Value Database
- filelock-1.0.3 Portable File Locking
- finalfit-1.0.8 Quickly Create Elegant Regression Results Tables and Plots when
Modelling
- findpython-1.0.9 Functions to Find an Acceptable Python Binary
- fishMod-0.29.2 Fits Poisson-Sum-of-Gammas GLMs, Tweedie GLMs, and Delta
Log-Normal Models
- fitdistrplus-1.2-1 Help to Fit of a Parametric Distribution to Non-Censored or
Censored Data
- fixest-0.12.1 Fast Fixed-Effects Estimations
- flashClust-1.01-2 Implementation of optimal hierarchical clustering
- flexclust-1.4-2 Flexible Cluster Algorithms
- flexmix-2.3-19 Flexible Mixture Modeling
- flextable-0.9.7 Functions for Tabular Reporting
- flowAI-1.36.0 Automatic and interactive quality control for flow cytometry data
- flowClean-1.44.0 flowClean
- flowClust-3.44.0 Clustering for Flow Cytometry
- flowCore-2.18.0 flowCore: Basic structures for flow cytometry data
- flowDensity-1.40.0 Sequential Flow Cytometry Data Gating
- flowFP-1.64.0 Fingerprinting for Flow Cytometry
- flowMerge-2.54.0 Cluster Merging for Flow Cytometry Data
- flowPeaks-1.52.0 An R package for flow data clustering
- flowStats-4.18.0 Statistical methods for the analysis of flow cytometry data
- flowViz-1.70.0 Visualization for flow cytometry
- flowWorkspace-4.18.0 Infrastructure for representing and interacting with gated and ungated cytometry data sets.
- fma-2.5 Data Sets from “Forecasting: Methods and Applications” by
Makridakis, Wheelwright & Hyndman (1998)
- fmri-1.9.12.1 Analysis of fMRI Experiments
- fontBitstreamVera-0.1.1 Fonts with ‘Bitstream Vera Fonts’ License
- fontLiberation-0.1.0 Liberation Fonts
- fontawesome-0.5.3 Easily Work with ‘Font Awesome’ Icons
- fontquiver-0.2.1 Set of Installed Fonts
- forcats-1.0.0 Tools for Working with Categorical Variables (Factors)
- foreach-1.5.2 Provides Foreach Looping Construct
- forecast-8.23.0 Forecasting Functions for Time Series and Linear Models
- foreign-0.8-87 Read Data Stored by ‘Minitab’, ‘S’, ‘SAS’, ‘SPSS’, ‘Stata’,
‘Systat’, ‘Weka’, ‘dBase’, …
- formatR-1.14 Format R Code Automatically
- formula.tools-1.7.1 Programmatic Utilities for Manipulating Formulas, Expressions,
Calls, Assignments and Other R Objects
- fossil-0.4.0 Palaeoecological and Palaeogeographical Analysis Tools
- fpc-2.2-13 Flexible Procedures for Clustering
- fpp-0.5 Data for “Forecasting: principles and practice”
- fracdiff-1.5-3 Fractionally Differenced ARIMA aka ARFIMA(P,d,q) Models
- frbs-3.2-0 Fuzzy Rule-Based Systems for Classification and Regression Tasks
- fresh-0.2.1 Create Custom ‘Bootstrap’ Themes to Use in ‘Shiny’
- fs-1.6.5 Cross-Platform File System Operations Based on ‘libuv’
- furrr-0.3.1 Apply Mapping Functions in Parallel using Futures
- futile.logger-1.4.3 A Logging Utility for R
- futile.options-1.0.1 Futile Options Management
- future-1.34.0 Unified Parallel and Distributed Processing in R for Everyone
- future.apply-1.11.3 Apply Function to Elements in Parallel using Futures
- gWidgets2-1.0-9 Rewrite of gWidgets API for Simplified GUI Construction
- gWidgets2tcltk-1.0-8 Toolkit Implementation of gWidgets2 for tcltk
- gam-1.22-5 Generalized Additive Models
- gamlss-5.4-22 Generalized Additive Models for Location Scale and Shape
- gamlss.data-6.0-6 Data for Generalised Additive Models for Location Scale and
Shape
- gamlss.dist-6.1-1 Distributions for Generalized Additive Models for Location Scale
and Shape
- gamlss.tr-5.1-9 Generating and Fitting Truncated `gamlss.family’ Distributions
- gamm4-0.2-6 Generalized Additive Mixed Models using ‘mgcv’ and ‘lme4’
- gap-1.6 Genetic Analysis Package
- gap.datasets-0.0.6 Datasets for ‘gap’
- gapfill-0.9.6-1 Fill Missing Values in Satellite Data
- gargle-1.5.2 Utilities for Working with Google APIs
- gaussquad-1.0-3 Collection of Functions for Gaussian Quadrature
- gbRd-0.4.12 Utilities for Processing Rd Objects and Files
- gbm-2.2.2 Generalized Boosted Regression Models
- gclus-1.3.2 Clustering Graphics
- gcmr-1.0.3 Gaussian Copula Marginal Regression
- gcrma-2.78.0 Background Adjustment Using Sequence Information
- gdalUtils-2.0.3.2 Wrappers for the Geospatial Data Abstraction Library (GDAL)
Utilities
- gdata-3.0.1 Various R Programming Tools for Data Manipulation
- gdistance-1.6.4 Distances and Routes on Geographical Grids
- gdsfmt-1.42.0 R Interface to CoreArray Genomic Data Structure (GDS) Files
- gdtools-0.4.1 Utilities for Graphical Rendering and Fonts Management
- gee-4.13-27 Generalized Estimation Equation Solver
- geeM-0.10.1 Solve Generalized Estimating Equations
- geepack-1.3.12 Generalized Estimating Equation Package
- geex-1.1.1 An API for M-Estimation
- geiger-2.0.11 Analysis of Evolutionary Diversification
- geneLenDataBase 1.42.0 Package Not Found
- genefilter-1.88.0 genefilter: methods for filtering genes from high-throughput experiments
- geneplotter-1.84.0 Graphics related functions for Bioconductor
- generics-0.1.3 Common S3 Generics not Provided by Base R Methods Related to
Model Fitting
- genoPlotR-0.8.11 Plot Publication-Grade Gene and Genome Maps
- genomation-1.38.0 Summary, annotation and visualization of genomic data
- geojsonsf-2.0.3 GeoJSON to Simple Feature Converter
- geometries-0.2.4 Convert Between R Objects and Geometric Structures
- geometry-0.5.0 Mesh Generation and Surface Tessellation
- gert-2.1.4 Simple Git Client for R
- getopt-1.20.4 C-Like ‘getopt’ Behavior
- gfonts-0.2.0 Offline ‘Google’ Fonts for ‘Markdown’ and ‘Shiny’
- ggExtra-0.10.1 Add Marginal Histograms to ‘ggplot2’, and More ‘ggplot2’
Enhancements
- ggbeeswarm-0.7.2 Categorical Scatter (Violin Point) Plots
- ggbio-1.54.0 Visualization tools for genomic data
- ggcyto-1.34.0 Visualize Cytometry data with ggplot
- ggdag-0.2.13 Analyze and Create Elegant Directed Acyclic Graphs
- ggdendro-0.2.0 Create Dendrograms and Tree Diagrams Using ‘ggplot2’
- ggdist-3.3.2 Visualizations of Distributions and Uncertainty
- ggfan-0.1.3 Summarise a Distribution Through Coloured Intervals
- ggforce-0.4.2 Accelerating ‘ggplot2’
- ggformula-0.12.0 Formula Interface to the Grammar of Graphics
- ggfun-0.1.7 Miscellaneous Functions for ‘ggplot2’
- ggh4x-0.2.8 Hacks for ‘ggplot2’
- ggnetwork-0.5.13 Geometries to Plot Networks with ‘ggplot2’
- ggnewscale-0.5.0 Multiple Fill and Colour Scales in ‘ggplot2’
- ggplot2-3.5.1 Create Elegant Data Visualisations Using the Grammar of Graphics
- ggplotify-0.1.2 Convert Plot to ‘grob’ or ‘ggplot’ Object
- ggpointdensity-0.1.0 A Cross Between a 2D Density Plot and a Scatter Plot
- ggpubr-0.6.0 ‘ggplot2’ Based Publication Ready Plots
- ggraph-2.2.1 An Implementation of Grammar of Graphics for Graphs and Networks
- ggrastr-1.0.2 Rasterize Layers for ‘ggplot2’
- ggrepel-0.9.6 Automatically Position Non-Overlapping Text Labels with
‘ggplot2’
- ggridges-0.5.6 Ridgeline Plots in ‘ggplot2’
- ggsci-3.2.0 Scientific Journal and Sci-Fi Themed Color Palettes for
‘ggplot2’
- ggseqlogo-0.2 A ‘ggplot2’ Extension for Drawing Publication-Ready Sequence
Logos
- ggsignif-0.6.4 Significance Brackets for ‘ggplot2’
- ggstance-0.3.7 Horizontal ‘ggplot2’ Components
- ggstats-0.7.0 Extension to ‘ggplot2’ for Plotting Stats
- ggtangle-0.0.4 Draw Network with Data
- ggthemes-5.1.0 Extra Themes, Scales and Geoms for ‘ggplot2’
- ggtree-3.14.0 an R package for visualization of tree and annotation data
- ggvenn-0.1.10 Draw Venn Diagram by ‘ggplot2’
- ggvis-0.4.9 Interactive Grammar of Graphics
- gh-1.4.1 ‘GitHub’ ‘API’
- git2r-0.35.0 Provides Access to Git Repositories
- gitcreds-0.1.2 Query ‘git’ Credentials from ‘R’
- glasso-1.11 Graphical Lasso: Estimation of Gaussian Graphical Models
- gld-2.6.6 Estimation and Use of the Generalised (Tukey) Lambda
Distribution
- gllvm-1.4.3 Generalized Linear Latent Variable Models
- glmmML-1.1.7 Generalized Linear Models with Clustering
- glmmTMB-1.1.10 Generalized Linear Mixed Models using Template Model Builder
- glmnet-4.1-8 Lasso and Elastic-Net Regularized Generalized Linear Models
- globals-0.16.3 Identify Global Objects in R Expressions
- globaltest-5.60.0 Testing Groups of Covariates/Features for Association with a Response Variable, with Applications to Gene Set Testing
- glue-1.8.0 Interpreted String Literals
- gmm-1.8 Generalized Method of Moments and Generalized Empirical
Likelihood
- gmodels-2.19.1 Various R Programming Tools for Model Fitting
- gmp-0.7-5 Multiple Precision Arithmetic
- gnumeric-0.7-10 Read Data from Files Readable by ‘gnumeric’
- goftest-1.2-3 Classical Goodness-of-Fit Tests for Univariate Distributions
- goldilocks-0.3.0 Goldilocks Adaptive Trial Designs for Time-to-Event Endpoints
- gomms-1.0 GLM-Based Ordination Method
- googledrive-2.1.1 An Interface to Google Drive
- googlesheets4-1.1.1 Access Google Sheets using the Sheets API V4
- goseq-1.58.0 Gene Ontology analyser for RNA-seq and other length biased data
- gower-1.0.1 Gower’s Distance
- gplots-3.2.0 Various R Programming Tools for Plotting Data
- grDevices built in
- grImport2-0.3-3 Importing ‘SVG’ Graphics
- graph-1.84.0 graph: A package to handle graph data structures
- graphics built in
- graphite-1.52.0 GRAPH Interaction from pathway Topological Environment
- graphlayouts-1.2.1 Additional Layout Algorithms for Network Visualizations
- grf-2.4.0 Generalized Random Forests
- grid built in
- gridBase-0.4-7 Integration of base and grid graphics
- gridExtra-2.3 Miscellaneous Functions for “Grid” Graphics
- gridGraphics-0.5-1 Redraw Base Graphics Using ‘grid’ Graphics
- grpreg-3.5.0 Regularization Paths for Regression Models with Grouped
Covariates
- gsDesign-3.6.5 Group Sequential Design
- gsalib-2.2.1 Utility Functions for ‘GATK’
- gsignal-0.3-7 Signal Processing
- gsl-2.1-8 Wrapper for the Gnu Scientific Library
- gsmoothr-0.1.7 Smoothing tools
- gson-0.1.0 Base Class and Methods for ‘gson’ Format
- gsw-1.2-0 Gibbs Sea Water Functions
- gt-0.11.1 Easily Create Presentation-Ready Display Tables
- gtable-0.3.6 Arrange ‘Grobs’ in Tables
- gtools-3.9.5 Various R Programming Tools
- gtsummary-2.0.3 Presentation-Ready Data Summary and Analytic Result Tables
- h2o-3.44.0.3 R Interface for the ‘H2O’ Scalable Machine Learning Platform
- hahmmr-1.0.0 Haplotype-Aware Hidden Markov Model for RNA
- hal9001-0.4.6 The Scalable Highly Adaptive Lasso
- haldensify-0.2.3 Highly Adaptive Lasso Conditional Density Estimation
- hardhat-1.4.0 Construct Modeling Packages
- harmony-1.2.1 Fast, Sensitive, and Accurate Integration of Single Cell Data
- hash-2.2.6.3 Full Featured Implementation of Hash Tables/Associative
Arrays/Dictionaries
- haven-2.5.4 Import and Export ‘SPSS’, ‘Stata’ and ‘SAS’ Files
- hdf5r-1.3.11 Interface to the ‘HDF5’ Binary Data Format
- hdm-0.3.2 High-Dimensional Metrics
- hdrcde-3.4 Highest Density Regions and Conditional Density Estimation
- heatmap3-1.1.9 An Improved Heatmap Package
- heatmaply-1.5.0 Interactive Cluster Heat Maps Using ‘plotly’ and ‘ggplot2’
- here-1.0.1 A Simpler Way to Find Your Files
- hexbin-1.28.5 Hexagonal Binning Routines
- hgu133plus2.db 3.13.0 Package Not Found
- highr-0.11 Syntax Highlighting for R Source Code
- hms-1.1.3 Pretty Time of Day
- htmlTable-2.4.3 Advanced Tables for Markdown/HTML
- htmltools-0.5.8.1 Tools for HTML
- htmlwidgets-1.6.4 HTML Widgets for R
- httpcode-0.3.0 ‘HTTP’ Status Code Helper
- httpuv-1.6.15 HTTP and WebSocket Server Library
- httr-1.4.7 Tools for Working with URLs and HTTP
- httr2-1.0.6 Perform HTTP Requests and Process the Responses
- huge-1.3.5 High-Dimensional Undirected Graph Estimation
- hunspell-3.0.5 High-Performance Stemmer, Tokenizer, and Spell Checker
- hwriter-1.3.2.1 HTML Writer - Outputs R Objects in HTML Format
- hypergeo-1.2-13 The Gauss Hypergeometric Function
- ica-1.0-3 Independent Component Analysis
- idr-1.3 Irreproducible Discovery Rate
- ids-1.0.1 Generate Random Identifiers
- ie2misc-0.9.1 Irucka Embry’s Miscellaneous USGS Functions
- igraph-2.1.1 Network Analysis and Visualization
- illuminaio-0.48.0 Parsing Illumina Microarray Output Files
- image.binarization-0.1.3 Binarize Images for Enhancing Optical Character Recognition
- imager-1.0.2 Image Processing Library Based on ‘CImg’
- imagerExtra-1.3.2 Extra Image Processing Library Based on ‘imager’
- impute-1.80.0 impute: Imputation for microarray data
- ineq-0.2-13 Measuring Inequality, Concentration, and Poverty
- influenceR-0.1.5 Software Tools to Quantify Structural Importance of Nodes in a
Network
- infotheo-1.2.0.1 Information-Theoretic Measures
- ini-0.3.1 Read and Write ‘.ini’ Files
- inline-0.3.20 Functions to Inline C, C++, Fortran Function Calls from R
- insight-0.20.5 Easy Access to Model Information for Various Model Objects
- interactiveDisplayBase-1.44.0 Base package for enabling powerful shiny web displays of Bioconductor objects
- intergraph-2.0-4 Coercion Routines for Network Data Objects
- interp-1.1-6 Interpolation Methods
- interpretR-0.2.5 Binary Classifier and Regression Model Interpretation Functions
- intervals-0.15.5 Tools for Working with Points and Intervals
- intrinsicDimension-1.2.0 Intrinsic Dimension Estimation
- inum-1.0-5 Interval and Enum-Type Representation of Vectors
- ipred-0.9-15 Improved Predictors
- irace-3.5 Iterated Racing for Automatic Algorithm Configuration
- irlba-2.3.5.1 Fast Truncated Singular Value Decomposition and Principal
Components Analysis for Large Dense and Sparse Matrices
- ismev-1.42 An Introduction to Statistical Modeling of Extreme Values
- isoband-0.2.7 Generate Isolines and Isobands from Regularly Spaced Elevation
Grids
- isva-1.9 Independent Surrogate Variable Analysis
- iterators-1.0.14 Provides Iterator Construct
- itertools-0.1-3 Iterator Tools
- janeaustenr-1.0.0 Jane Austen’s Complete Novels
- jiebaR-0.11 Chinese Text Segmentation
- jiebaRD-0.1 Chinese Text Segmentation Data for jiebaR Package
- jomo-2.7-6 Multilevel Joint Modelling Multiple Imputation
- jpeg-0.1-10 Read and write JPEG images
- jquerylib-0.1.4 Obtain ‘jQuery’ as an HTML Dependency Object
- jsonify-1.2.2 Convert Between ‘R’ Objects and Javascript Object Notation
(JSON)
- jsonlite-1.8.9 A Simple and Robust JSON Parser and Generator for R
- jstable-1.3.6 Create Tables from Different Types of Regression
- juicyjuice-0.1.0 Inline CSS Properties into HTML Tags Using ‘juice’
- kableExtra-1.4.0 Construct Complex Table with ‘kable’ and Pipe Syntax
- kde1d-1.0.7 Univariate Kernel Density Estimation
- kedd-1.0.4 Kernel Estimator and Bandwidth Selection for Density and Its
Derivatives
- kernlab-0.9-33 Kernel-Based Machine Learning Lab
- kinship2-1.9.6.1 Pedigree Functions
- klaR-1.7-3 Classification and Visualization
- knitr-1.49 A General-Purpose Package for Dynamic Report Generation in R
- kohonen-3.0.12 Supervised and Unsupervised Self-Organising Maps
- ks-1.14.3 Kernel Smoothing
- labdsv-2.1-0 Ordination and Multivariate Analysis for Ecology
- labeling-0.4.3 Axis Labeling
- labelled-2.13.0 Manipulating Labelled Data
- laeken-0.5.3 Estimation of Indicators on Social Exclusion and Poverty
- lambda.r-1.2.4 Modeling Data with Functional Programming
- lars-1.3 Least Angle Regression, Lasso and Forward Stagewise
- lassosum 0.4.5 Package Not Found
- later-1.3.2 Utilities for Scheduling Functions to Execute Later with Event
Loops
- lattice-0.22-6 Trellis Graphics for R
- latticeExtra-0.6-30 Extra Graphical Utilities Based on Lattice
- lava-1.8.0 Latent Variable Models
- lavaan-0.6-19 Latent Variable Analysis
- lazy-1.2-18 Lazy Learning for Local Regression
- lazyeval-0.2.2 Lazy (Non-Standard) Evaluation
- lda-1.5.2 Collapsed Gibbs Sampling Methods for Topic Models
- ldbounds-2.0.2 Lan-DeMets Method for Group Sequential Boundaries
- leafem-0.2.3 ‘leaflet’ Extensions for ‘mapview’
- leaflet-2.2.2 Create Interactive Web Maps with the JavaScript ‘Leaflet’
Library
- leaflet.providers-2.0.0 Leaflet Providers
- leafsync-0.1.0 Small Multiples for Leaflet Web Maps
- leaps-3.2 Regression Subset Selection
- leiden-0.4.3.1 R Implementation of Leiden Clustering Algorithm
- lhs-1.2.0 Latin Hypercube Samples
- libcoin-1.0-10 Linear Test Statistics for Permutation Inference
- lifecycle-1.0.4 Manage the Life Cycle of your Package Functions
- limSolve-1.5.7.1 Solving Linear Inverse Models
- limma-3.62.1 Linear Models for Microarray and Omics Data
- linkcomm-1.0-14 Tools for Generating, Visualizing, and Analysing Link
Communities in Networks
- linprog-0.9-4 Linear Programming / Optimization
- liquidSVM-1.2.4 A Fast and Versatile SVM Package
- listenv-0.9.1 Environments Behaving (Almost) as Lists
- lme4-1.1-35.5 Linear Mixed-Effects Models using ‘Eigen’ and S4
- lmerTest-3.1-3 Tests in Linear Mixed Effects Models
- lmom-3.2 L-Moments
- lmtest-0.9-40 Testing Linear Regression Models
- lobstr-1.1.2 Visualize R Data Structures with Trees
- locfdr-1.1-8 Computes Local False Discovery Rates
- locfit-1.5-9.10 Local Regression, Likelihood and Density Estimation
- log4r-0.4.4 A Fast and Lightweight Logging System for R, Based on ‘log4j’
- logcondens-2.1.8 Estimate a Log-Concave Probability Density from Iid Observations
- logger-0.4.0 A Lightweight, Modern and Flexible Logging Utility
- logistf-1.26.0 Firth’s Bias-Reduced Logistic Regression
- logspline-2.1.22 Routines for Logspline Density Estimation
- longitudinal-1.1.13 Analysis of Multiple Time Course Data
- longmemo-1.1-3 Statistics for Long-Memory Processes (Book Jan Beran), and
Related Functionality
- loo-2.8.0 Efficient Leave-One-Out Cross-Validation and WAIC for Bayesian
Models
- lpSolve-5.6.22 Interface to ‘Lp_solve’ v. 5.5 to Solve Linear/Integer Programs
- lpSolveAPI-5.5.2.0-17.12 R Interface to ‘lp_solve’ Version 5.5.2.0
- lpsymphony-1.34.0 Symphony integer linear programming solver in R
- lqa-1.0-3 Penalized Likelihood Inference for GLMs
- lsa-0.73.3 Latent Semantic Analysis
- lsei-1.3-0 Solving Least Squares or Quadratic Programming Problems under
Equality/Inequality Constraints
- lslx-0.6.11 Semi-Confirmatory Structural Equation Modeling via Penalized
Likelihood or Least Squares
- lubridate-1.9.3 Make Dealing with Dates a Little Easier
- lumi-2.58.0 BeadArray Specific Methods for Illumina Methylation and Expression Microarrays
- lwgeom-0.2-14 Bindings to Selected ‘liblwgeom’ Functions for Simple Features
- mRMRe-2.1.2.2 Parallelized Minimum Redundancy, Maximum Relevance (mRMR)
- maSigPro-1.78.0 Significant Gene Expression Profile Differences in Time Course Gene Expression Data
- magic-1.6-1 Create and Investigate Magic Squares
- magick-2.8.5 Advanced Graphics and Image-Processing in R
- magrittr-2.0.3 A Forward-Pipe Operator for R
- manipulateWidget-0.11.1 Add Even More Interactivity to Interactive Charts
- mapproj-1.2.11 Map Projections
- maps-3.4.2.1 Draw Geographical Maps
- maptools-1.1-8 Tools for Handling Spatial Objects
- markdown-1.13 Render Markdown with ‘commonmark’
- marray-1.84.0 Exploratory analysis for two-color spotted microarray data
- mathjaxr-1.6-0 Using ‘Mathjax’ in Rd Files
- matlab-1.0.4.1 ‘MATLAB’ Emulation Package
- matrixStats-1.4.1 Functions that Apply to Rows and Columns of Matrices (and to
Vectors)
- matrixcalc-1.0-6 Collection of Functions for Matrix Calculations
- maxLik-1.5-2.1 Maximum Likelihood Estimation and Related Tools
- maxlike-0.1-11 Model Species Distributions by Estimating the Probability of
Occurrence Using Presence-Only Data
- maxnet-0.1.4 Fitting ‘Maxent’ Species Distribution Models with ‘glmnet’
- mboost-2.9-11 Model-Based Boosting
- mclogit-0.9.6 Multinomial Logit Models, with or without Random Effects or
Overdispersion
- mclust-6.1.1 Gaussian Mixture Modelling for Model-Based Clustering,
Classification, and Density Estimation
- mcmc-0.9-8 Markov Chain Monte Carlo
- mcmcse-1.5-0 Monte Carlo Standard Errors for MCMC
- mda-0.5-5 Mixture and Flexible Discriminant Analysis
- medflex-0.6-10 Flexible Mediation Analysis Using Natural Effect Models
- mediation-4.5.0 Causal Mediation Analysis
- memisc-0.99.31.8.1 Management of Survey Data and Presentation of Analysis Results
- memoise-2.0.1 ‘Memoisation’ of Functions
- memuse-4.2-3 Memory Estimation Utilities
- metaMA-3.1.3 Meta-Analysis for MicroArrays
- metadat-1.2-0 Meta-Analysis Datasets
- metafor-4.6-0 Meta-Analysis Package for R
- metap-1.11 Meta-Analysis of Significance Values
- metapod-1.14.0 Meta-Analyses on P-Values of Differential Analyses
- methods built in
- methylumi-2.52.0 Handle Illumina methylation data
- mets-1.3.4 Analysis of Multivariate Event Times
- mgcv-1.9-1 Mixed GAM Computation Vehicle with Automatic Smoothness
Estimation
- mgsub-1.7.3 Safe, Multiple, Simultaneous String Substitution
- mhsmm-0.4.21 Inference for Hidden Markov and Semi-Markov Models
- mi-1.1 Missing Data Imputation and Model Checking
- mia-1.14.0 Microbiome analysis
- mice-3.16.0 Multivariate Imputation by Chained Equations
- miceadds-3.17-44 Some Additional Multiple Imputation Functions, Especially for
‘mice’
- microbenchmark-1.5.0 Accurate Timing Functions
- mime-0.12 Map Filenames to MIME Types
- minerva-1.5.10 Maximal Information-Based Nonparametric Exploration for Variable
Analysis
- minfi-1.52.1 Analyze Illumina Infinium DNA methylation arrays
- miniUI-0.1.1.1 Shiny UI Widgets for Small Screens
- minpack.lm-1.2-4 R Interface to the Levenberg-Marquardt Nonlinear Least-Squares
Algorithm Found in MINPACK, Plus Support for Bounds
- minqa-1.2.8 Derivative-Free Optimization Algorithms by Quadratic
Approximation
- minty-0.0.4 Minimal Type Guesser
- mirt-1.43 Multidimensional Item Response Theory
- misc3d-0.9-1 Miscellaneous 3D Plots
- miscTools-0.6-28 Miscellaneous Tools and Utilities
- missForest-1.5 Nonparametric Missing Value Imputation using Random Forest
- missMDA-1.19 Handling Missing Values with Multivariate Data Analysis
- missMethyl-1.40.0 Analysing Illumina HumanMethylation BeadChip Data
- mitml-0.4-5 Tools for Multiple Imputation in Multilevel Modeling
- mitools-2.4 Tools for Multiple Imputation of Missing Data
- mixOmics-6.30.0 Omics Data Integration Project
- mixsqp-0.3-54 Sequential Quadratic Programming for Fast Maximum-Likelihood
Estimation of Mixture Proportions
- mixtools-2.0.0 Tools for Analyzing Finite Mixture Models
- mlbench-2.1-5 Machine Learning Benchmark Problems
- mlegp-3.1.9 Maximum Likelihood Estimates of Gaussian Processes
- mlogit-1.1-1 Multinomial Logit Models
- mlr-2.19.2 Machine Learning in R
- mlrMBO-1.1.5.1 Bayesian Optimization and Model-Based Optimization of Expensive
Black-Box Functions
- mltools-0.3.5 Machine Learning Tools
- mnormt-2.1.1 The Multivariate Normal and t Distributions, and Their Truncated
Versions
- modelr-0.1.11 Modelling Functions that Work with the Pipe
- modeltools-0.2-23 Tools and Classes for Statistical Models
- momentfit-0.5 Methods of Moments
- moments-0.14.1 Moments, Cumulants, Skewness, Kurtosis and Related Tests
- mosaicCore-0.9.4.0 Common Utilities for Other MOSAIC-Family Packages
- motifStack-1.50.0 Plot stacked logos for single or multiple DNA, RNA and amino acid sequence
- motifmatchr-1.28.0 Fast Motif Matching in R
- mpath-0.4-2.26 Regularized Linear Models
- msigdbr-7.5.1 MSigDB Gene Sets for Multiple Organisms in a Tidy Data Format
- msm-1.8.2 Multi-State Markov and Hidden Markov Models in Continuous Time
- mstate-0.3.3 Data Preparation, Estimation and Prediction in Multi-State
Models
- multcomp-1.4-26 Simultaneous Inference in General Parametric Models
- multcompView-0.1-10 Visualizations of Paired Comparisons
- multicool-1.0.1 Permutations of Multisets in Cool-Lex Order
- multipol-1.0-9 Multivariate Polynomials
- multitaper-1.0-17 Spectral Analysis Tools using the Multitaper Method
- multtest-2.62.0 Resampling-based multiple hypothesis testing
- munsell-0.5.1 Utilities for Using Munsell Colours
- muscat-1.20.0 Multi-sample multi-group scRNA-seq data analysis tools
- mutoss-0.1-13 Unified Multiple Testing Procedures
- mvabund-4.2.1 Statistical Methods for Analysing Multivariate Abundance Data
- mvnfast-0.2.8 Fast Multivariate Normal and Student’s t Methods
- mvtnorm-1.3-2 Multivariate Normal and t Distributions
- mzID-1.44.0 An mzIdentML parser for R
- mzR-2.40.0 parser for netCDF, mzXML and mzML and mzIdentML files (mass spectrometry data)
- nabor-0.5.0 Wraps ‘libnabo’, a Fast K Nearest Neighbour Library for Low
Dimensions
- naniar-1.1.0 Data Structures, Summaries, and Visualisations for Missing Data
- natserv-1.0.0 ‘NatureServe’ Interface
- naturalsort-0.1.3 Natural Ordering
- ncbit-2013.03.29.1 Retrieve and Build NBCI Taxonomic Data
- ncdf4-1.23 Interface to Unidata netCDF (Version 4 or Earlier) Format Data
Files
- ncdfFlow-2.52.0 ncdfFlow: A package that provides HDF5 based storage for flow cytometry data.
- network-1.18.2 Classes for Relational Data
- networkDynamic-0.11.5 Dynamic Extensions for Network Objects
- networkLite-1.0.5 An Simplified Implementation of the ‘network’ Package
Functionality
- neuRosim-0.2-14 Simulate fMRI Data
- neuralnet-1.44.2 Training of Neural Networks
- ngspatial-1.2-2 Fitting the Centered Autologistic and Sparse Spatial Generalized
Linear Mixed Models for Areal Data
- nleqslv-3.3.5 Solve Systems of Nonlinear Equations
- nlme-3.1-166 Linear and Nonlinear Mixed Effects Models
- nloptr-2.1.1 R Interface to NLopt
- nlsem-0.8-1 Fitting Structural Equation Mixture Models
- nnet-7.3-19 Feed-Forward Neural Networks and Multinomial Log-Linear Models
- nnls-1.6 The Lawson-Hanson Algorithm for Non-Negative Least Squares
(NNLS)
- nonnest2-0.5-8 Tests of Non-Nested Models
- nor1mix-1.3-3 Normal aka Gaussian 1-d Mixture Models
- norm-1.0-11.1 Analysis of Multivariate Normal Datasets with Missing Values
- nortest-1.0-4 Tests for Normality
- np-0.60-17 Nonparametric Kernel Smoothing Methods for Mixed Data Types
- npsurv-0.5-0 Nonparametric Survival Analysis
- numDeriv-2016.8-1.1 Accurate Numerical Derivatives
- numbat-1.4.2 Haplotype-Aware CNV Analysis from scRNA-Seq
- oai-0.4.0 General Purpose ‘Oai-PMH’ Services Client
- oce-1.8-3 Analysis of Oceanographic Data
- oddsratio-2.0.1 Odds Ratio Calculation for GAM(M)s & GLM(M)s
- officer-0.6.7 Manipulation of Microsoft Word and PowerPoint Documents
- oligo-1.70.0 Preprocessing tools for oligonucleotide arrays
- oligoClasses-1.68.0 Classes for high-throughput arrays supported by oligo and crlmm
- ontologyIndex-2.12 Reading Ontologies into R
- oompaBase-3.2.9 Class Unions, Matrix Operations, and Color Schemes for OOMPA
- oompaData-3.1.4 Data to Illustrate OOMPA Algorithms
- openCyto-2.18.0 Hierarchical Gating Pipeline for flow cytometry data
- openair-2.18-2 Tools for the Analysis of Air Pollution Data
- openssl-2.2.2 Toolkit for Encryption, Signatures and Certificates Based on
OpenSSL
- openxlsx-4.2.7.1 Read, Write and Edit xlsx Files
- operator.tools-1.6.3 Utilities for Working with R’s Operators
- optextras-2019-12.4 Tools to Support Optimization Possibly with Bounds and Masks
- optimParallel-1.0-2 Parallel Version of the L-BFGS-B Optimization Method
- optimr-2019-12.16 A Replacement and Extension of the ‘optim’ Function
- optimx-2023-10.21 Expanded Replacement and Extension of the ‘optim’ Function
- optmatch-0.10.8 Functions for Optimal Matching
- optparse-1.7.5 Command Line Option Parser
- ordinal-2023.12-4.1 Regression Models for Ordinal Data
- org.Hs.eg.db 3.20.0 Package Not Found
- org.Mm.eg.db 3.20.0 Package Not Found
- org.Rn.eg.db 3.20.0 Package Not Found
- origami-1.0.7 Generalized Framework for Cross-Validation
- oro.nifti-0.11.4 Rigorous - ‘NIfTI’ + ‘ANALYZE’ + ‘AFNI’ : Input / Output
- orthopolynom-1.0-6.1 Collection of Functions for Orthogonal and Orthonormal
Polynomials
- osqp-0.6.3.3 Quadratic Programming Solver using the ‘OSQP’ Library
- outliers-0.15 Tests for Outliers
- pROC-1.18.5 Display and Analyze ROC Curves
- pRoloc-1.46.0 A unifying bioinformatics framework for spatial proteomics
- pRolocGUI-2.16.0 Interactive visualisation of spatial proteomics data
- pRolocdata 1.44.0 Package Not Found
- packrat-0.9.2 A Dependency Management System for Projects and their R Package
Dependencies
- pacman-0.5.1 Package Management Tool
- pammtools-0.5.93 Piece-Wise Exponential Additive Mixed Modeling Tools for
Survival Analysis
- pamr-1.57 Pam: Prediction Analysis for Microarrays
- pan-1.9 Multiple Imputation for Multivariate Panel or Clustered Data
- parallel built in
- parallelDist-0.2.6 Parallel Distance Matrix Computation using Multiple Threads
- parallelMap-1.5.1 Unified Interface to Parallelization Back-Ends
- parallelly-1.39.0 Enhancing the ‘parallel’ Package
- parsedate-1.3.1 Recognize and Parse Dates in Various Formats, Including All ISO
8601 Formats
- party-1.3-17 A Laboratory for Recursive Partytioning
- partykit-1.2-22 A Toolkit for Recursive Partytioning
- pastecs-1.4.2 Package for Analysis of Space-Time Ecological Series
- patchwork-1.3.0 The Composer of Plots
- pathview-1.46.0 a tool set for pathway based data integration and visualization
- pbapply-1.7-2 Adding Progress Bar to ‘*apply’ Functions
- pbivnorm-0.6.0 Vectorized Bivariate Normal CDF
- pbkrtest-0.5.3 Parametric Bootstrap, Kenward-Roger and Satterthwaite Based
Methods for Test in Mixed Models
- pbmcapply-1.5.1 Tracking the Progress of Mc*pply with Progress Bar
- pcaMethods-1.98.0 A collection of PCA methods
- pcaPP-2.0-5 Robust PCA by Projection Pursuit
- pdp-0.8.2 Partial Dependence Plots
- pec-2023.04.12 Prediction Error Curves for Risk Prediction Models in Survival
Analysis
- penalized-0.9-52 L1 (Lasso and Fused Lasso) and L2 (Ridge) Penalized Estimation
in GLMs and in the Cox Model
- penfa-0.1.1 Single- And Multiple-Group Penalized Factor Analysis
- peperr-1.5 Parallelised Estimation of Prediction Error
- performance-0.12.4 Assessment of Regression Models Performance
- perm-1.0-0.4 Exact or Asymptotic Permutation Tests
- permute-0.9-7 Functions for Generating Restricted Permutations of Data
- phangorn-2.12.1 Phylogenetic Reconstruction and Analysis
- pheatmap-1.0.12 Pretty Heatmaps
- phylobase-0.8.12 Base Package for Phylogenetic Structures and Comparative Data
- phyloseq-1.50.0 Handling and analysis of high-throughput microbiome census data
- phytools-2.3-0 Phylogenetic Tools for Comparative Biology (and Other Things)
- pillar-1.9.0 Coloured Formatting for Columns
- pim-2.0.2 Fit Probabilistic Index Models
- pinfsc50-1.3.0 Sequence (‘FASTA’), Annotation (‘GFF’) and Variants (‘VCF’) for
17 Samples of ‘P. Infestans” and 1 ‘P. Mirabilis’
- pixmap-0.4-13 Bitmap Images / Pixel Maps
- pkgbuild-1.4.5 Find Tools Needed to Build R Packages
- pkgconfig-2.0.3 Private Configuration for ‘R’ Packages
- pkgdown-2.1.1 Make Static HTML Documentation for a Package
- pkgload-1.4.0 Simulate Package Installation and Attach
- pkgmaker-0.32.10 Development Utilities for R Packages
- plogr-0.2.0 The ‘plog’ C++ Logging Library
- plot3D-1.4.1 Plotting Multi-Dimensional Data
- plot3Drgl-1.0.4 Plotting Multi-Dimensional Data - Using ‘rgl’
- plotly-4.10.4 Create Interactive Web Graphics via ‘plotly.js’
- plotmo-3.6.4 Plot a Model’s Residuals, Response, and Partial Dependence Plots
- plotrix-3.8-4 Various Plotting Functions
- pls-2.8-5 Partial Least Squares and Principal Component Regression
- plyr-1.8.9 Tools for Splitting, Applying and Combining Data
- plyranges-1.26.0 A fluent interface for manipulating GenomicRanges
- pmp-1.18.0 Peak Matrix Processing and signal batch correction for metabolomics datasets
- png-0.1-8 Read and write PNG images
- poLCA-1.6.0.1 Polytomous Variable Latent Class Analysis
- polspline-1.1.25 Polynomial Spline Routines
- polyclip-1.10-7 Polygon Clipping
- polycor-0.8-1 Polychoric and Polyserial Correlations
- polynom-1.4-1 A Collection of Functions to Implement a Class for Univariate
Polynomial Manipulations
- posterior-1.6.0 Tools for Working with Posterior Distributions
- poweRlaw-0.80.0 Analysis of Heavy Tailed Distributions
- ppcor-1.1 Partial and Semi-Partial (Part) Correlation
- prabclus-2.3-4 Functions for Clustering and Testing of Presence-Absence,
Abundance and Multilocus Genetic Data
- pracma-2.4.4 Practical Numerical Math Functions
- praise-1.0.0 Praise Users
- preprocessCore-1.68.0 A collection of pre-processing functions
- preseqR-4.0.0 Predicting Species Accumulation Curves
- prettyGraphs-2.1.6 Publication-Quality Graphics
- prettyunits-1.2.0 Pretty, Human Readable Formatting of Quantities
- princurve-2.1.6 Fit a Principal Curve in Arbitrary Dimension
- processx-3.8.4 Execute and Control System Processes
- prodlim-2024.06.25 Product-Limit Estimation for Censored Event History Analysis
- profileModel-0.6.1 Profiling Inference Functions for Various Model Classes
- proftools-0.99-3 Profile Output Processing Tools for R
- profvis-0.4.0 Interactive Visualizations for Profiling R Code
- progress-1.2.3 Terminal Progress Bars
- progressr-0.15.1 An Inclusive, Unifying API for Progress Updates
- projpred-2.8.0 Projection Predictive Feature Selection
- promises-1.3.0 Abstractions for Promise-Based Asynchronous Programming
- proto-1.0.0 Prototype Object-Based Programming
- proxy-0.4-27 Distance and Similarity Measures
- proxyC-0.4.1 Computes Proximity in Large Sparse Matrices
- pryr-0.1.6 Tools for Computing on the Language
- ps-1.8.1 List, Query, Manipulate System Processes
- pscl-1.5.9 Political Science Computational Laboratory
- pspline-1.0-20 Penalized Smoothing Splines
- psych-2.4.6.26 Procedures for Psychological, Psychometric, and Personality
Research
- pulsar-0.3.11 Parallel Utilities for Lambda Selection along a Regularization
Path
- purrr-1.0.2 Functional Programming Tools
- pvclust-2.2-0 Hierarchical Clustering with P-Values via Multiscale Bootstrap
Resampling
- pwalign-1.2.0 Perform pairwise sequence alignments
- qap-0.1-2 Heuristics for the Quadratic Assignment Problem (QAP)
- qgam-1.3.4 Smooth Additive Quantile Regression Models
- qgraph-1.9.8 Graph Plotting Methods, Psychometric Data Visualization and
Graphical Model Estimation
- qlcMatrix-0.9.8 Utility Sparse Matrix Functions for Quantitative Language
Comparison
- qqconf-1.3.2 Creates Simultaneous Testing Bands for QQ-Plots
- qqman-0.1.9 Q-Q and Manhattan Plots for GWAS Data
- qrng-0.0-10 (Randomized) Quasi-Random Number Generators
- qrnn-2.1.1 Quantile Regression Neural Network
- quadprog-1.5-8 Functions to Solve Quadratic Programming Problems
- quanteda-4.1.0 Quantitative Analysis of Textual Data
- quantmod-0.4.26 Quantitative Financial Modelling Framework
- quantreg-5.99.1 Quantile Regression
- quantsmooth-1.72.0 Quantile smoothing and genomic visualization of array data
- questionr-0.7.8 Functions to Make Surveys Processing Easier
- qvalue-2.38.0 Q-value estimation for false discovery rate control
- r2rtf-1.1.1 Easily Create Production-Ready Rich Text Format (RTF) Tables and
Figures
- rARPACK-0.11-0 Solvers for Large Scale Eigenvalue and SVD Problems
- rGADEM-2.54.0 de novo motif discovery
- rJava-1.0-11 Low-Level R to Java Interface
- ragg-1.3.3 Graphic Devices Based on AGG
- rainbow-3.8 Bagplots, Boxplots and Rainbow Plots for Functional Data
- random-0.2.6 True Random Numbers using RANDOM.ORG
- randomForest-4.7-1.2 Breiman and Cutlers Random Forests for Classification and
Regression
- randomForestSRC-3.3.1 Fast Unified Random Forests for Survival, Regression, and
Classification (RF-SRC)
- randomcoloR-1.1.0.1 Generate Attractive Random Colors
- randtoolbox-2.0.5 Toolbox for Pseudo and Quasi Random Number Generation and Random
Generator Tests
- rangeModelMetadata-0.1.5 Provides Templates for Metadata Files Associated with Species
Range Models
- ranger-0.17.0 A Fast Implementation of Random Forests
- rapidjsonr-1.2.0 ‘Rapidjson’ C++ Header Files
- rappdirs-0.3.3 Application Directories: Determine Where to Save Data, Caches,
and Logs
- raster-3.6-30 Geographic Data Analysis and Modeling
- rasterVis-0.51.6 Visualization Methods for Raster Data
- ratelimitr-0.4.1 Rate Limiting for R
- rbibutils-2.3 Read ‘Bibtex’ Files and Convert Between Bibliography Formats
- rbiom-1.0.3 Read/Write, Analyze, and Visualize ‘BIOM’ Data
- rbison-1.0.0 Interface to the ‘USGS’ ‘BISON’ API
- rcmdcheck-1.4.0 Run ‘R CMD check’ from ‘R’ and Capture Results
- rda-1.2-1 Shrunken Centroids Regularized Discriminant Analysis
- rdrop2-0.8.2.1 Programmatic Interface to the ‘Dropbox’ API
- reactR-0.6.1 React Helpers
- reactable-0.4.4 Interactive Data Tables for R
- reactome.db 1.89.0 Package Not Found
- readODS-2.3.1 Read and Write ODS Files
- readbitmap-0.1.5 Simple Unified Interface to Read Bitmap Images
(BMP,JPEG,PNG,TIFF)
- reader-1.0.6 Suite of Functions to Flexibly Read Data from Files
- readr-2.1.5 Read Rectangular Text Data
- readxl-1.4.3 Read Excel Files
- rebird-1.3.0 R Client for the eBird Database of Bird Observations
- recipes-1.1.0 Preprocessing and Feature Engineering Steps for Modeling
- reformulas-0.4.0 Machinery for Processing Random Effect Formulas
- regioneR-1.38.0 Association analysis of genomic regions based on permutation tests
- registry-0.5-1 Infrastructure for R Package Registries
- regsem-1.9.5 Regularized Structural Equation Modeling
- reldist-1.7-2 Relative Distribution Methods
- relsurv-2.2-9 Relative Survival
- remaCor-0.0.18 Random Effects Meta-Analysis for Correlated Test Statistics
- rematch-2.0.0 Match Regular Expressions with a Nicer ‘API’
- rematch2-2.1.2 Tidy Output from Regular Expression Matching
- remotes-2.5.0 R Package Installation from Remote Repositories, Including
‘GitHub’
- rentrez-1.2.3 ‘Entrez’ in R
- renv-1.0.11 Project Environments
- reprex-2.1.1 Prepare Reproducible Example Code via the Clipboard
- resample-0.6 Resampling Functions
- reshape-0.8.9 Flexibly Reshape Data
- reshape2-1.4.4 Flexibly Reshape Data: A Reboot of the Reshape Package
- restfulr-0.0.15 R Interface to RESTful Web Services
- reticulate-1.40.0 Interface to ‘Python’
- rex-1.2.1 Friendly Regular Expressions
- rgbif-3.8.1 Interface to the Global Biodiversity Information Facility API
- rgdal-1.6-7 Bindings for the ‘Geospatial’ Data Abstraction Library
- rgeos-0.6-4 Interface to Geometry Engine - Open Source (‘GEOS’)
- rgexf-0.16.3 Build, Import, and Export GEXF Graph Files
- rgl-1.3.14 3D Visualization Using OpenGL
- rhandsontable-0.3.8 Interface to the ‘Handsontable.js’ Library
- rhdf5-2.50.0 R Interface to HDF5
- rhdf5filters-1.18.0 HDF5 Compression Filters
- ridge-3.3 Ridge Regression with Automatic Selection of the Penalty
Parameter
- ridigbio-0.4.1 Interface to the iDigBio Data API
- rio-1.2.3 A Swiss-Army Knife for Data I/O
- riskRegression-2023.12.21 Risk Regression Models and Prediction Scores for Survival
Analysis with Competing Risks
- ritis-1.0.0 Integrated Taxonomic Information System Client
- rjson-0.2.23 JSON for R
- rlang-1.1.4 Functions for Base Types and Core R and ‘Tidyverse’ Features
- rle-0.9.2 Common Functions for Run-Length Encoded Vectors
- rlecuyer-0.3-8 R Interface to RNG with Multiple Streams
- rlemon-0.2.1 R Access to LEMON Graph Algorithms
- rlist-0.4.6.2 A Toolbox for Non-Tabular Data Manipulation
- rmarkdown-2.29 Dynamic Documents for R
- rmeta-3.0 Meta-Analysis
- rms-6.8-2 Regression Modeling Strategies
- rncl-0.8.7 An Interface to the Nexus Class Library
- rnetcarto-0.2.6 Fast Network Modularity and Roles Computation by Simulated
Annealing (Rgraph C Library Wrapper for R)
- rngWELL-0.10-10 Toolbox for WELL Random Number Generators
- rngtools-1.5.2 Utility Functions for Working with Random Number Generators
- robustbase-0.99-4-1 Basic Robust Statistics
- rols-3.2.0 An R interface to the Ontology Lookup Service
- rootSolve-1.8.2.4 Nonlinear Root Finding, Equilibrium and Steady-State Analysis of
Ordinary Differential Equations
- ropls-1.38.0 PCA, PLS(-DA) and OPLS(-DA) for multivariate analysis and feature selection of omics data
- roptim-0.1.6 General Purpose Optimization in R using C++
- rotl-3.1.0 Interface to the ‘Open Tree of Life’ API
- roxygen2-7.3.2 In-Line Documentation for R
- rpact-4.1.0 Confirmatory Adaptive Clinical Trial Design and Analysis
- rpart-4.1.23 Recursive Partitioning and Regression Trees
- rpf-1.0.14 Response Probability Functions
- rprojroot-2.0.4 Finding Files in Project Subdirectories
- rrcov-1.7-6 Scalable Robust Estimators with High Breakdown Point
- rredlist-0.7.1 ‘IUCN’ Red List Client
- rsample-1.2.1 General Resampling Infrastructure
- rsconnect-1.3.3 Deploy Docs, Apps, and APIs to ‘Posit Connect’, ‘shinyapps.io’,
and ‘RPubs’
- rstan-2.32.6 R Interface to Stan
- rstantools-2.4.0 Tools for Developing R Packages Interfacing with ‘Stan’
- rstatix-0.7.2 Pipe-Friendly Framework for Basic Statistical Tests
- rstudioapi-0.17.1 Safely Access the RStudio API
- rsvd-1.0.5 Randomized Singular Value Decomposition
- rtdists-0.11-5 Response Time Distributions
- rtracklayer-1.66.0 R interface to genome annotation files and the UCSC genome browser
- ruv-0.9.7.1 Detect and Remove Unwanted Variation using Negative Controls
- rversions-2.1.2 Query ‘R’ Versions, Including ‘r-release’ and ‘r-oldrel’
- rvertnet-0.8.4 Search ‘Vertnet’, a ‘Database’ of Vertebrate Specimen Records
- rvest-1.0.4 Easily Harvest (Scrape) Web Pages
- rvinecopulib-0.6.3.1.1 High Performance Algorithms for Vine Copula Modeling
- s2-1.1.7 Spherical Geometry Operators Using the S2 Geometry Library
- sampling-2.10 Survey Sampling
- samr-3.0 SAM: Significance Analysis of Microarrays
- sandwich-3.1-1 Robust Covariance Matrix Estimators
- sass-0.4.9 Syntactically Awesome Style Sheets (‘Sass’)
- scDblFinder-1.20.0 scDblFinder
- scales-1.3.0 Scale Functions for Visualization
- scam-1.2-17 Shape Constrained Additive Models
- scater-1.34.0 Single-Cell Analysis Toolkit for Gene Expression Data in R
- scattermore-1.2 Scatterplots with More Points
- scatterpie-0.2.4 Scatter Pie Plot
- scatterplot3d-0.3-44 3D Scatter Plot
- scistreer-1.2.0 Maximum-Likelihood Perfect Phylogeny Inference at Scale
- scran-1.34.0 Methods for Single-Cell RNA-Seq Data Analysis
- scrime-1.3.5 Analysis of High-Dimensional Categorical Data Such as SNP Data
- scs-3.2.4 Splitting Conic Solver
- sctransform-0.4.1 Variance Stabilizing Transformations for Single Cell UMI Data
- scuttle-1.16.0 Single-Cell RNA-Seq Analysis Utilities
- seewave-2.2.3 Sound Analysis and Synthesis
- segmented-2.1-3 Regression Models with Break-Points / Change-Points Estimation
(with Possibly Random Effects)
- selectr-0.4-2 Translate CSS Selectors to XPath Expressions
- sem-3.1-16 Structural Equation Models
- semPLS-1.0-10 Structural Equation Modeling Using Partial Least Squares
- semTools-0.5-6 Useful Tools for Structural Equation Modeling
- sendmailR-1.4-0 Send Email Using R
- sensemakr-0.1.6 Sensitivity Analysis Tools for Regression Models
- sentometrics-1.0.0 An Integrated Framework for Textual Sentiment Time Series
Aggregation and Prediction
- seqLogo-1.72.0 Sequence logos for DNA sequence alignments
- seqPattern-1.38.0 Visualising oligonucleotide patterns and motif occurrences across a set of sorted sequences
- seqinr-4.2-36 Biological Sequences Retrieval and Analysis
- seriation-1.5.6 Infrastructure for Ordering Objects Using Seriation
- servr-0.32 A Simple HTTP Server to Serve Static Files or Dynamic Documents
- sessioninfo-1.2.2 R Session Information
- setRNG-2024.2-1 Set (Normal) Random Number Generator and Seed
- sf-1.0-19 Simple Features for R
- sfheaders-0.4.4 Converts Between R Objects and Simple Feature Objects
- sfsmisc-1.1-20 Utilities from ‘Seminar fuer Statistik’ ETH Zurich
- shadowtext-0.1.4 Shadow Text Grob and Layer
- shape-1.4.6.1 Functions for Plotting Graphical Shapes, Colors
- shapefiles-0.7.2 Read and Write ESRI Shapefiles
- shiny-1.9.1 Web Application Framework for R
- shinyBS-0.61.1 Twitter Bootstrap Components for Shiny
- shinyFiles-0.9.3 A Server-Side File System Viewer for Shiny
- shinyWidgets-0.8.7 Custom Inputs Widgets for Shiny
- shinycssloaders-1.1.0 Add Loading Animations to a ‘shiny’ Output While It’s
Recalculating
- shinydashboard-0.7.2 Create Dashboards with ‘Shiny’
- shinydashboardPlus-2.0.5 Add More ‘AdminLTE2’ Components to ‘shinydashboard’
- shinyhelper-0.3.2 Easily Add Markdown Help Files to ‘shiny’ App Elements
- shinyjs-2.1.0 Easily Improve the User Experience of Your Shiny Apps in Seconds
- shinypanel-0.1.5 Shiny Control Panel
- shinystan-2.6.0 Interactive Visual and Numerical Diagnostics and Posterior
Analysis for Bayesian Models
- shinythemes-1.2.0 Themes for Shiny
- siggenes-1.80.0 Multiple Testing using SAM and Efron’s Empirical Bayes Approaches
- signal-1.8-1 Signal Processing
- simex-1.8 SIMEX- And MCSIMEX-Algorithm for Measurement Error Models
- simona-1.4.0 Semantic Similarity on Bio-Ontologies
- simplifyEnrichment-2.0.0 Simplify Functional Enrichment Results
- sitmo-2.0.2 Parallel Pseudo Random Number Generator (PPRNG) ‘sitmo’ Header
Files
- slam-0.1-55 Sparse Lightweight Arrays and Matrices
- slider-0.3.2 Sliding Window Functions
- slingshot-2.14.0 Tools for ordering single-cell sequencing
- sm-2.2-6.0 Smoothing Methods for Nonparametric Regression and Density
Estimation
- smoof-1.6.0.3 Single and Multi-Objective Optimization Test Functions
- smoother-1.3 Functions Relating to the Smoothing of Numerical Data
- sn-2.1.1 The Skew-Normal and Related Distributions Such as the Skew-t and
the SUN
- sna-2.8 Tools for Social Network Analysis
- snow-0.4-4 Simple Network of Workstations
- snowfall-1.84-6.3 Easier Cluster Computing (Based on ‘snow’)
- snpStats-1.56.0 SnpMatrix and XSnpMatrix classes and methods
- solrium-1.2.0 General Purpose R Interface to ‘Solr’
- som-0.3-5.2 Self-Organizing Map
- soundecology-1.3.3 Soundscape Ecology
- sourcetools-0.1.7-1 Tools for Reading, Tokenizing and Parsing R Code
- sp-2.1-4 Classes and Methods for Spatial Data
- spData-2.3.3 Datasets for Spatial Analysis
- spThin-0.2.0 Functions for Spatial Thinning of Species Occurrence Records for
Use in Ecological Models
- spaMM-4.5.0 Mixed-Effect Models, with or without Spatial Random Effects
- spaa-0.2.2 SPecies Association Analysis
- spacefillr-0.3.3 Space-Filling Random and Quasi-Random Sequences
- spam-2.11-0 SPArse Matrix
- sparseMatrixStats-1.18.0 Summary Statistics for Rows and Columns of Sparse Matrices
- sparsesvd-0.2-2 Sparse Truncated Singular Value Decomposition (from ‘SVDLIBC’)
- spatial-7.3-17 Functions for Kriging and Point Pattern Analysis
- spatstat-3.3-0 Spatial Point Pattern Analysis, Model-Fitting, Simulation, Tests
- spatstat.core-2.4-4 Core Functionality of the ‘spatstat’ Family
- spatstat.data-3.1-4 Datasets for ‘spatstat’ Family
- spatstat.explore-3.3-3 Exploratory Data Analysis for the ‘spatstat’ Family
- spatstat.geom-3.3-4 Geometrical Functionality of the ‘spatstat’ Family
- spatstat.linnet-3.2-3 Linear Networks Functionality of the ‘spatstat’ Family
- spatstat.model-3.3-3 Parametric Statistical Modelling and Inference for the
‘spatstat’ Family
- spatstat.random-3.3-2 Random Generation Functionality for the ‘spatstat’ Family
- spatstat.sparse-3.1-0 Sparse Three-Dimensional Arrays and Linear Algebra Utilities
- spatstat.univar-3.1-1 One-Dimensional Probability Distribution Support for the
‘spatstat’ Family
- spatstat.utils-3.1-1 Utility Functions for ‘spatstat’
- spdep-1.3-6 Spatial Dependence: Weighting Schemes, Statistics
- splancs-2.01-45 Spatial and Space-Time Point Pattern Analysis
- splines built in
- splitstackshape-1.4.8 Stack and Reshape Datasets After Splitting Concatenated Values
- spls-2.2-3 Sparse Partial Least Squares (SPLS) Regression and
Classification
- spocc-1.2.3 Interface to Species Occurrence Data Sources
- stabledist-0.7-2 Stable Distribution Functions
- stabs-0.6-4 Stability Selection with Error Control
- stageR-1.28.0 stageR: stage-wise analysis of high throughput gene expression data in R
- stargazer-5.2.3 Well-Formatted Regression and Summary Statistics Tables
- stars-0.6-7 Spatiotemporal Arrays, Raster and Vector Data Cubes
- startupmsg-0.9.7 Utilities for Start-Up Messages
- statmod-1.5.0 Statistical Modeling
- statnet-2019.6 Software Tools for the Statistical Analysis of Network Data
- statnet.common-4.10.0 Common R Scripts and Utilities Used by the Statnet Project
Software
- stats built in
- stats4 built in
- stdReg-3.4.1 Regression Standardization
- stopwords-2.3 Multilingual Stopword Lists
- stringdist-0.9.12 Approximate String Matching, Fuzzy Text Search, and String
Distance Functions
- stringi-1.8.4 Fast and Portable Character String Processing Facilities
- stringmagic-1.1.2 Character String Operations and Interpolation, Magic Edition
- stringr-1.5.1 Simple, Consistent Wrappers for Common String Operations
- strucchange-1.5-4 Testing, Monitoring, and Dating Structural Changes
- struct-1.18.0 Statistics in R Using Class-based Templates
- structToolbox-1.18.0 Data processing & analysis tools for Metabolomics and other omics
- styler-1.10.3 Non-Invasive Pretty Printing of R Code
- subplex-1.9 Unconstrained Optimization using the Subplex Algorithm
- survey-4.4-2 Analysis of Complex Survey Samples
- survival-3.7-0 Survival Analysis
- survivalROC-1.0.3.1 Time-Dependent ROC Curve Estimation from Censored Survival Data
- susieR-0.12.35 Sum of Single Effects Linear Regression
- svUnit-1.0.6 ‘SciViews’ - Unit, Integration and System Testing
- sva-3.54.0 Surrogate Variable Analysis
- svd-0.5.7 Interfaces to Various State-of-Art SVD and Eigensolvers
- svglite-2.1.3 An ‘SVG’ Graphics Device
- swagger-5.17.14.1 Dynamically Generates Documentation from a ‘Swagger’ Compliant
API
- symmoments-1.2.1 Symbolic Central and Noncentral Moments of the Multivariate
Normal Distribution
- sys-3.4.3 Powerful and Reliable Tools for Running System Commands in R
- systemfonts-1.1.0 System Native Font Finding
- tableone-0.13.2 Create ‘Table 1’ to Describe Baseline Characteristics with or
without Propensity Score Weights
- tabletools 0.1.0 Package Not Found
- tau-0.0-26 Text Analysis Utilities
- taxize-0.9.100.1 Taxonomic Information from Around the Web
- tcltk built in
- tcltk2-1.2-11 Tcl/Tk Additions
- tclust-2.0-5 Robust Trimmed Clustering
- tensor-1.5 Tensor product of arrays
- tensorA-0.36.2.1 Advanced Tensor Arithmetic with Named Indices
- tergm-4.2.1 Fit, Simulate and Diagnose Models for Network Evolution Based on
Exponential-Family Random Graph Models
- terra-1.7-83 Spatial Data Analysis
- testit-0.13 A Simple Package for Testing R Packages
- testthat-3.2.1.1 Unit Testing for R
- textcat-1.0-9 N-Gram Based Text Categorization
- textplot-0.2.2 Text Plots
- textshaping-0.4.0 Bindings to the ‘HarfBuzz’ and ‘Fribidi’ Libraries for Text
Shaping
- threejs-0.3.3 Interactive 3D Scatter Plots, Networks and Globes
- tibble-3.2.1 Simple Data Frames
- tictoc-1.2.1 Functions for Timing R Scripts, as Well as Implementations of
“Stack” and “StackList” Structures
- tidybayes-3.0.7 Tidy Data and ‘Geoms’ for Bayesian Models
- tidygraph-1.3.1 A Tidy API for Graph Manipulation
- tidyr-1.3.1 Tidy Messy Data
- tidyselect-1.2.1 Select from a Set of Strings
- tidytext-0.4.2 Text Mining using ‘dplyr’, ‘ggplot2’, and Other Tidy Tools
- tidytree-0.4.6 A Tidy Tool for Phylogenetic Tree Data Manipulation
- tidyverse-2.0.0 Easily Install and Load the ‘Tidyverse’
- tiff-0.1-12 Read and Write TIFF Images
- timeDate-4041.110 Rmetrics - Chronological and Calendar Objects
- timechange-0.3.0 Efficient Manipulation of Date-Times
- timereg-2.0.6 Flexible Regression Models for Survival Data
- tinytex-0.54 Helper Functions to Install and Maintain TeX Live, and Compile
LaTeX Documents
- tkWidgets-1.84.0 R based tk widgets
- tkrplot-0.0-27 TK Rplot
- tm-0.7-15 Text Mining Package
- tmap-3.3-4 Thematic Maps
- tmaptools-3.1-1 Thematic Map Tools
- tmle-2.0.1.1 Targeted Maximum Likelihood Estimation
- tmvnsim-1.0-2 Truncated Multivariate Normal Simulation
- tmvtnorm-1.6 Truncated Multivariate Normal and Student t Distribution
- tokenizers-0.3.0 Fast, Consistent Tokenization of Natural Language Text
- tools built in
- topicmodels-0.2-17 Topic Models
- tree-1.0-43 Classification and Regression Trees
- treeio-1.30.0 Base Classes and Functions for Phylogenetic Tree Input and Output
- triebeard-0.4.1 ‘Radix’ Trees in ‘Rcpp’
- trimcluster-0.1-5 Cluster Analysis with Trimming
- tripack-1.3-9.2 Triangulation of Irregularly Spaced Data
- truncnorm-1.0-9 Truncated Normal Distribution
- trust-0.1-8 Trust Region Optimization
- tseries-0.10-58 Time Series Analysis and Computational Finance
- tseriesChaos-0.1-13.1 Analysis of Nonlinear Time Series
- tsna-0.3.5 Tools for Temporal Social Network Analysis
- tsne-0.1-3.1 T-Distributed Stochastic Neighbor Embedding for R (t-SNE)
- tuneR-1.4.7 Analysis of Music and Speech
- twang-2.6.1 Toolkit for Weighting and Analysis of Nonequivalent Groups
- tweedie-2.3.5 Evaluation of Tweedie Exponential Family Models
- tweenr-2.0.3 Interpolate Data for Smooth Animations
- txdbmaker-1.2.0 Tools for making TxDb objects from genomic annotations
- tximport-1.34.0 Import and summarize transcript-level estimates for transcript- and gene-level analysis
- tzdb-0.4.0 Time Zone Database Information
- ucminf-1.2.2 General-Purpose Unconstrained Non-Linear Optimization
- udpipe-0.8.11 Tokenization, Parts of Speech Tagging, Lemmatization and
Dependency Parsing with the ‘UDPipe’ ‘NLP’ Toolkit
- umap-0.2.10.0 Uniform Manifold Approximation and Projection
- unbalanced-2.0 Racing for Unbalanced Methods Selection
- unikn-1.0.0 Graphical Elements of the University of Konstanz’s Corporate
Design
- uniqueAtomMat-0.1-3-2 Finding Unique or Duplicated Rows or Columns for Atomic Matrices
- units-0.8-5 Measurement Units for R Vectors
- universalmotif-1.24.2 Import, Modify, and Export Motifs with R
- unmarked-1.4.3 Models for Data from Unmarked Animals
- urca-1.3-4 Unit Root and Cointegration Tests for Time Series Data
- urlchecker-1.0.1 Run CRAN URL Checks from Older R Versions
- urltools-1.7.3 Vectorised Tools for URL Handling and Parsing
- uroot-2.1-3 Unit Root Tests for Seasonal Time Series
- usethis-3.0.0 Automate Package and Project Setup
- utf8-1.2.4 Unicode Text Processing
- utils built in
- uuid-1.2-1 Tools for Generating and Handling of UUIDs
- uwot-0.2.2 The Uniform Manifold Approximation and Projection (UMAP) Method
for Dimensionality Reduction
- varhandle-2.0.6 Functions for Robust Variable Handling
- variancePartition-1.36.2 Quantify and interpret drivers of variation in multilevel gene expression experiments
- vcd-1.4-13 Visualizing Categorical Data
- vcfR-1.15.0 Manipulate and Visualize VCF Data
- vctrs-0.6.5 Vector Helpers
- vegan-2.6-8 Community Ecology Package
- venn-1.12 Draw Venn Diagrams
- vioplot-0.5.0 Violin Plot
- vipor-0.4.7 Plot Categorical Data Using Quasirandom Noise and Density
Estimates
- viridis-0.6.5 Colorblind-Friendly Color Maps for R
- viridisLite-0.4.2 Colorblind-Friendly Color Maps (Lite Version)
- visNetwork-2.1.2 Network Visualization using ‘vis.js’ Library
- visdat-0.6.0 Preliminary Visualisation of Data
- vroom-1.6.5 Read and Write Rectangular Text Data Quickly
- vsn-3.74.0 Variance stabilization and calibration for microarray data
- waiter-0.2.5 Loading Screen for ‘Shiny’
- waldo-0.6.1 Find Differences Between R Objects
- warp-0.2.1 Group Dates
- wateRmelon-2.12.0 Illumina DNA methylation array normalization and metrics
- waveslim-1.8.5 Basic Wavelet Routines for One-, Two-, and Three-Dimensional
Signal Processing
- wdm-0.2.4 Weighted Dependence Measures
- webshot-0.5.5 Take Screenshots of Web Pages
- webutils-1.2.2 Utility Functions for Developing Web Applications
- weights-1.0.4 Weighting and Weighted Statistics
- wellknown-0.7.4 Convert Between ‘WKT’ and ‘GeoJSON’
- whisker-0.4.1 for R, Logicless Templating
- widgetTools-1.84.0 Creates an interactive tcltk widget
- widgetframe-0.3.1 ‘Htmlwidgets’ in Responsive ‘iframes’
- wikitaxa-0.4.0 Taxonomic Information from ‘Wikipedia’
- withr-3.0.2 Run Code ‘With’ Temporarily Modified Global State
- wk-0.9.4 Lightweight Well-Known Geometry Parsing
- word2vec-0.4.0 Distributed Representations of Words
- wordcloud-2.6 Word Clouds
- worrms-0.4.3 World Register of Marine Species (WoRMS) Client
- writexl-1.5.1 Export Data Frames to Excel ‘xlsx’ Format
- xcms-4.4.0 LC-MS and GC-MS Data Analysis
- xfun-0.49 Supporting Functions for Packages Maintained by ‘Yihui Xie’
- xgboost-1.7.8.1 Extreme Gradient Boosting
- xlsx-0.6.5 Read, Write, Format Excel 2007 and Excel 97/2000/XP/2003 Files
- xlsxjars-0.6.1 Package required POI jars for the xlsx package
- xml2-1.3.6 Parse XML
- xopen-1.0.1 Open System Files, ‘URLs’, Anything
- xtable-1.8-4 Export Tables to LaTeX or HTML
- xts-0.14.1 eXtensible Time Series
- yaImpute-1.0-34.1 Nearest Neighbor Observation Imputation and Evaluation Tools
- yaml-2.3.10 Methods to Convert R Data to YAML and Back
- yulab.utils-0.1.8 Supporting Functions for Packages Maintained by ‘YuLab-SMU’
- zCompositions-1.5.0-4 Treatment of Zeros, Left-Censored and Missing Values in
Compositional Data Sets
- zeallot-0.1.0 Multiple, Unpacking, and Destructuring Assignment
- zellkonverter-1.16.0 Conversion Between scRNA-seq Objects
- zip-2.3.1 Cross-Platform ‘zip’ Compression
- zlibbioc-1.52.0 An R packaged zlib-1.2.5
- zoo-1.8-12 S3 Infrastructure for Regular and Irregular Time Series (Z’s
Ordered Observations)