Package List 
  ADGofTest-0.3  Anderson-Darling GoF testALDEx2 1.12.0 
  ASCAT 2.4.3 
  AUC-0.3.0  Threshold independent performance measures for probabilistic<U+000a>classifiers.AgiMicroRna 2.30.0 
  AlgDesign-1.1-7.3  Algorithmic Experimental DesignAnnotationDbi 1.42.1 
  AnnotationFilter 1.4.0 
  AnnotationForge 1.22.0 
  AnnotationHub 2.12.0 
  BB-2014.10-1  Solving and Optimizing Large-Scale Nonlinear SystemsBBmisc-1.11  Miscellaneous Helper Functions for B. BischlBDgraph-2.48  Bayesian Structure Learning in Graphical Models using
Birth-Death MCMCBH-1.66.0-1  Boost C++ Header FilesBSgenome 1.48.0 
  BSgenome.Hsapiens.UCSC.hg19 1.4.0 
  BatchJobs-1.7  Batch Computing with RBhat-0.9-10  General likelihood explorationBiasedUrn-1.07  Biased Urn Model DistributionsBiobase 2.40.0 
  BiocGenerics 0.26.0 
  BiocInstaller 1.30.0 
  BiocParallel 1.14.1 
  Biostrings 2.48.0 
  BivarP-1.0  Estimating the Parameters of Some Bivariate DistributionsBolstad-0.2-38  Functions for Elementary Bayesian InferenceBolstad2-1.0-28  Bolstad functionsBradleyTerry2-1.0-8  Bradley-Terry ModelsBrobdingnag-1.2-5  Very Large Numbers in RCGEN 3.16.0 
  CGHbase 1.40.0 
  CVST-0.2-1  Fast Cross-Validation via Sequential TestingCairo-1.5-9  R graphics device using cairo graphics library for creating
high-quality bitmap (PNG, JPEG, TIFF), vector (PDF, SVG,
PostScript) and display (X11 and Win32) outputCategory 2.46.0 
  CompQuadForm-1.4.3  Distribution Function of Quadratic Forms in Normal VariablesDAAG-1.22  Data Analysis and Graphics Data and FunctionsDBI-1.0.0  R Database InterfaceDEGseq 1.34.0 
  DESeq 1.32.0 
  DESeq2 1.20.0 
  DEoptimR-1.0-8  Differential Evolution Optimization in Pure RDNAcopy 1.54.0 
  DRR-0.0.3  Dimensionality Reduction via RegressionDT-0.4  A Wrapper of the JavaScript Library ‘DataTables’DelayedArray 0.6.0 
  DelayedMatrixStats 1.2.0 
  Deriv-3.8.4  Symbolic DifferentiationDiagrammeR-1.0.0  Graph/Network VisualizationDiffBind 2.8.0 
  DiscriMiner-0.1-29  Tools of the Trade for Discriminant AnalysisDynDoc 1.58.0 
  EBImage 4.22.0 
  EasyABC-1.5  Efficient Approximate Bayesian Computation Sampling SchemesEpiModel-1.6.5  Mathematical Modeling of Infectious Disease DynamicsFDb.InfiniumMethylation.hg19 2.2.0 
  FNN-1.1  Fast Nearest Neighbor Search Algorithms and ApplicationsFactoMineR-1.41  Multivariate Exploratory Data Analysis and Data MiningFormula-1.2-3  Extended Model FormulasGENESIS 2.10.0 
  GEOquery 2.48.0 
  GGally-1.3.2  Extension to ‘ggplot2’GO.db 3.6.0 
  GOstats 2.46.0 
  GSA-1.03  Gene set analysisGSEABase 1.42.0 
  GWASExactHW-1.01  Exact Hardy-Weinburg testing for Genome Wide Association StudiesGWASTools 1.26.0 
  GeneNet-1.2.13  Modeling and Inferring Gene NetworksGenomeGraphs 1.40.0 
  GenomeInfoDb 1.16.0 
  GenomeInfoDbData 1.1.0 
  GenomicAlignments 1.16.0 
  GenomicFeatures 1.32.0 
  GenomicFiles 1.16.0 
  GenomicRanges 1.32.2 
  GlobalOptions-0.0.13  Generate Functions to Get or Set Global OptionsGviz 1.24.0 
  HCsnip 1.17.0 
  HDF5Array 1.8.0 
  HMMcopy 1.22.0 
  HaploSim-1.8.4  Functions to simulate haplotypesHmisc-4.1-1  Harrell MiscellaneousHomo.sapiens 1.3.1 
  IDPmisc-1.1.17  Utilities of Institute of Data Analyses and Process Design<U+000a>(www.idp.zhaw.ch)IRanges 2.14.6 
  IRdisplay-0.4.4  ‘Jupyter’ Display MachineryIlluminaHumanMethylation450kmanifest 0.4.0 
  Iso-0.0-17  Functions to Perform Isotonic RegressionKEGG.db 3.2.3 
  KEGGREST 1.20.0 
  KEGGgraph 1.40.0 
  KEGGprofile 1.22.0 
  KernSmooth-2.23-15  Functions for Kernel Smoothing Supporting Wand & Jones (1995)LearnBayes-2.15.1  Functions for Learning Bayesian InferenceLmoments-1.2-3  L-Moments and Quantile MixturesLogicReg-1.5.9  Logic RegressionLymphoSeq 1.8.0 
  LymphoSeqDB 0.99.2 
  MASS-7.3-50  Support Functions and Datasets for Venables and Ripley’s MASSMCMCglmm-2.25  MCMC Generalised Linear Mixed ModelsMCMCpack-1.4-2  Markov Chain Monte Carlo (MCMC) PackageMPV-1.38  Data Sets from Montgomery, Peck and ViningMatrix-1.2-14  Sparse and Dense Matrix Classes and MethodsMatrixModels-0.4-1  Modelling with Sparse And Dense MatricesMfuzz 2.40.0 
  ModelMetrics-1.1.0  Rapid Calculation of Model MetricsMotIV 1.36.0 
  NLP-0.1-11  Natural Language Processing InfrastructureNMF-0.21.0  Algorithms and Framework for Nonnegative Matrix Factorization
(NMF)NOISeq 2.24.0 
  OceanView-1.0.4  Visualisation of Oceanographic Data and Model OutputOrganismDbi 1.22.0 
  PBSddesolve-1.12.2  Solver for Delay Differential EquationsPFAM.db 3.6.0 
  PICS 2.24.0 
  PKI-0.1-5.1  Public Key Infrastucture for R Based on the X.509 StandardParamHelpers-1.10  Helpers for Parameters in Black-Box Optimization, Tuning and
Machine LearningPolynomF-1.0-1  Polynomials in RProtGenerics 1.12.0 
  R.matlab-3.6.1  Read and Write MAT Files and Call MATLAB from Within RR.methodsS3-1.7.1  S3 Methods SimplifiedR.oo-1.22.0  R Object-Oriented Programming with or without ReferencesR.utils-2.6.0  Various Programming UtilitiesR2WinBUGS-2.1-21  Running ‘WinBUGS’ and ‘OpenBUGS’ from ‘R’ / ‘S-PLUS’R2jags-0.5-7  Using R to Run ‘JAGS’R6-2.2.2  Classes with Reference SemanticsRANN-2.5.1  Fast Nearest Neighbour Search (Wraps ANN Library) Using L2
MetricRBGL-1.56.0  An interface to the BOOST graph libraryRCircos-1.2.0  Circos 2D Track PlotRColorBrewer-1.1-2  ColorBrewer PalettesRCurl-1.95-4.10  General Network (HTTP/FTP/…) Client Interface for RREDCapR-0.9.8  Interaction Between R and REDCapRGCCA-2.1.2  Regularized and Sparse Generalized Canonical Correlation
Analysis for Multiblock DataRJSONIO-1.3-0  Serialize R objects to JSON, JavaScript Object NotationRLRsim-3.1-3  Exact (Restricted) Likelihood Ratio Tests for Mixed and Additive
ModelsRMTstat-0.3  Distributions, Statistics and Tests derived from Random Matrix<U+000a>TheoryRMySQL-0.10.14  Database Interface and ‘MySQL’ Driver for RRNASeqPower 1.20.0 
  RNeXML-2.1.1  Semantically Rich I/O for the ‘NeXML’ FormatROCR-1.0-7  Visualizing the Performance of Scoring ClassifiersRODBC-1.3-15  ODBC Database AccessRPostgreSQL-0.6-2  R Interface to the ‘PostgreSQL’ Database SystemRProtoBufLib 1.2.0 
  RSNNS-0.4-10  Neural Networks using the Stuttgart Neural Network Simulator
(SNNS)RSQLite-2.1.1  ‘SQLite’ Interface for RRSclient-0.7-3  Client for RserveRSpectra-0.12-0  Solvers for Large-Scale Eigenvalue and SVD ProblemsRUnit-0.4.31  R Unit Test FrameworkRWeka-0.4-37  R/Weka InterfaceRWekajars-3.9.2-1  R/Weka Interface JarsRcpp-0.12.16  Seamless R and C++ IntegrationRcppArmadillo-0.8.500.0  ‘Rcpp’ Integration for the ‘Armadillo’ Templated Linear Algebra
LibraryRcppEigen-0.3.3.4.0  ‘Rcpp’ Integration for the ‘Eigen’ Templated Linear Algebra
LibraryRcppParallel-4.4.0  Parallel Programming Tools for ‘Rcpp’RcppRoll-0.2.2  Efficient Rolling / Windowed OperationsReportingTools 2.20.0 
  Rglpk-0.6-3  R/GNU Linear Programming Kit InterfaceRgraphviz-2.24.0  Provides plotting capabilities for R graph objectsRhdf5lib 1.2.0 
  Rhpc-0.18-12  Permits *apply() Style Dispatch for ‘HPC’Ringo 1.44.0 
  Rlabkey-2.2.1  Data Exchange Between R and ‘LabKey’ ServerRmpi-0.6-7  Interface (Wrapper) to MPI (Message-Passing Interface)Rook-1.1-1  Rook - a web server interface for RRsamtools 1.32.0 
  Rsubread 1.30.0 
  Rttf2pt1-1.3.6  ‘ttf2pt1’ ProgramS4Vectors 0.18.1 
  SNPRelate-1.14.0  Parallel Computing Toolset for Genome-Wide Association Studies
(GWAS)SPIA 2.32.0 
  SQUAREM-2017.10-1  Squared Extrapolation Methods for Accelerating EM-Like Monotone
AlgorithmsSeqArray 1.20.0 
  SeqVarTools 1.18.0 
  ShortRead 1.38.0 
  SparseM-1.77  Sparse Linear AlgebraStanHeaders-2.17.2  C++ Header Files for StanSummarizedExperiment 1.10.0 
  SuperLearner-2.0-23  Super Learner PredictionSuppDists-1.1-9.4  Supplementary DistributionsTH.data-1.0-8  TH’s Data ArchiveTTR-0.23-3  Technical Trading RulesTeachingDemos-2.10  Demonstrations for Teaching and LearningTitanCNA 1.18.0 
  TraMineR-2.0-8  Trajectory Miner: a Toolbox for Exploring and Rendering
SequencesTxDb.Hsapiens.UCSC.hg19.knownGene 3.2.2 
  UpSetR-1.3.3  A More Scalable Alternative to Venn and Euler Diagrams for
Visualizing Intersecting SetsVGAM-1.0-5  Vector Generalized Linear and Additive ModelsVariantAnnotation 1.26.0 
  VennDiagram-1.6.20  Generate High-Resolution Venn and Euler PlotsWikidataR-1.4.0  API Client Library for ‘Wikidata’WikipediR-1.5.0  A MediaWiki API WrapperXML-3.98-1.11  Tools for Parsing and Generating XML Within R and S-PlusXVector 0.20.0 
  abc-2.1  Tools for Approximate Bayesian Computation (ABC)abc.data-1.0  Data Only: Tools for Approximate Bayesian Computation (ABC)abind-1.4-5  Combine Multidimensional Arraysacepack-1.4.1  ACE and AVAS for Selecting Multiple Regression Transformationsadabag-4.2  Applies Multiclass AdaBoost.M1, SAMME and Baggingade4-1.7-11  Analysis of Ecological Data: Exploratory and Euclidean Methods
in Environmental Sciencesadegenet-2.1.1  Exploratory Analysis of Genetic and Genomic Dataadephylo-1.1-11  Exploratory Analyses for the Phylogenetic Comparative Methodaffy 1.58.0 
  affycoretools 1.52.0 
  affyio 1.50.0 
  akima-0.6-2  Interpolation of Irregularly and Regularly Spaced Dataalr3-2.0.7  Data to Accompany Applied Linear Regression 3rd Editionamap-0.8-14  Another Multidimensional Analysis Packageanimation-2.5  A Gallery of Animations in Statistics and Utilities to Create
Animationsannaffy 1.52.0 
  annotate 1.58.0 
  ape-5.1  Analyses of Phylogenetics and Evolutionargparser-0.4  Command-Line Argument Parserarm-1.10-1  Data Analysis Using Regression and Multilevel/Hierarchical
Modelsassertthat-0.2.0  Easy Pre and Post Assertionsaws.ec2metadata-0.1.4  Get EC2 Instance Metadataaws.s3-0.3.11  ‘AWS S3’ Client Packageaws.signature-0.4.1  Amazon Web Services Request Signaturesbackports-1.1.2  Reimplementations of Functions Introduced Since R-3.0.0base built in 
  base64-2.0  Base64 Encoder and Decoderbase64enc-0.1-3  Tools for base64 encodingbaySeq 2.14.0 
  bdsmatrix-1.3-3  Routines for Block Diagonal Symmetric Matricesbeanplot-1.2  Visualization via Beanplots (like Boxplot/Stripchart/Violin<U+000a>Plot)benchmark-0.3-6  Benchmark Experiments Toolboxbiglm-0.9-1  bounded memory linear and generalized linear modelsbigmemory-4.5.33  Manage Massive Matrices with Shared Memory and Memory-Mapped
Filesbigmemory.sri-0.1.3  A shared resource interface for Bigmemory Project packagesbindr-0.1.1  Parametrized Active Bindingsbindrcpp-0.2.2  An ‘Rcpp’ Interface to Active Bindingsbio3d-2.3-4  Biological Structure Analysisbiom-0.3.12  An interface package (beta) for the BIOM file format.biomaRt 2.36.0 
  biovizBase 1.28.0 
  bit-1.1-12  A Class for Vectors of 1-Bit Booleansbit64-0.9-7  A S3 Class for Vectors of 64bit Integersbitops-1.0-6  Bitwise Operationsblob-1.1.1  A Simple S3 Class for Representing Vectors of Binary Data
(‘BLOBS’)bnlearn-4.3  Bayesian Network Structure Learning, Parameter Learning and
Inferencebold-0.5.0  Interface to Bold Systems APIboot-1.3-20  Bootstrap Functions (Originally by Angelo Canty for S)bootstrap-2017.2  Functions for the Book “An Introduction to the Bootstrap”brew-1.0-6  Templating Framework for Report Generationbrglm-0.6.1  Bias Reduction in Binomial-Response Generalized Linear Modelsbroom-0.4.4  Convert Statistical Analysis Objects into Tidy Data Framesbumphunter 1.22.0 
  caTools-1.17.1  Tools: moving window statistics, GIF, Base64, ROC AUC, etc.calibrate-1.7.2  Calibration of Scatterplot and Biplot Axescallr-2.0.3  Call R from Rcar-3.0-0  Companion to Applied RegressioncarData-3.0-1  Companion to Applied Regression Data Setscaret-6.0-79  Classification and Regression Trainingcatdata-1.2.1  Categorical Datacellranger-1.1.0  Translate Spreadsheet Cell Ranges to Rows and Columnscgdsr-1.2.10  R-Based API for Accessing the MSKCC Cancer Genomics Data Server
(CGDS)checkmate-1.8.5  Fast and Versatile Argument Checkschemometrics-1.4.2  Multivariate Statistical Analysis in Chemometricschipseq 1.30.0 
  chron-2.3-52  Chronological Objects which can Handle Dates and Timescirclize-0.4.3  Circular VisualizationclValid-0.6-6  Validation of Clustering Resultsclass-7.3-14  Functions for ClassificationclassInt-0.2-3  Choose Univariate Class Intervalscli-1.0.0  Helpers for Developing Command Line Interfacesclipr-0.4.0  Read and Write from the System Clipboardclue-0.3-55  Cluster Ensemblescluster-2.0.7-1  “Finding Groups in Data”: Cluster Analysis Extended Rousseeuw et
al.clusterGeneration-1.3.4  Random Cluster Generation (with Specified Degree of Separation)clusterRepro-0.5-1.1  Reproducibility of gene expression clusterscoda-0.19-1  Output Analysis and Diagnostics for MCMCcodetools-0.2-15  Code Analysis Tools for Rcoin-1.2-2  Conditional Inference Procedures in a Permutation Test Frameworkcolorspace-1.3-2  Color Space Manipulationcolourpicker-1.0  A Colour Picker Tool for Shiny and for Selecting Colours in
Plotscombinat-0.0-8  combinatorics utilitiescommonmark-1.5  High Performance CommonMark and Github Markdown Rendering in Rcompare-0.2-6  Comparing Objects for Differencescompiler built in 
  config-0.3  Manage Environment Specific Configuration Valuescopula-0.999-18  Multivariate Dependence with Copulascorpcor-1.6.9  Efficient Estimation of Covariance and (Partial) Correlationcowplot-0.9.2  Streamlined Plot Theme and Plot Annotations for ‘ggplot2’coxme-2.2-7  Mixed Effects Cox Modelscrayon-1.3.4  Colored Terminal Outputcrosstalk-1.0.0  Inter-Widget Interactivity for HTML Widgetscrul-0.5.2  HTTP Clientcubature-1.3-11  Adaptive Multivariate Integration over HypercubescummeRbund 2.22.0 
  curl-3.2  A Modern and Flexible Web Client for RcvAUC-1.1.0  Cross-Validated Area Under the ROC Curve Confidence Intervalscytolib 1.2.0 
  d3Network-0.5.2.1  Tools for creating D3 JavaScript network, tree, dendrogram, and<U+000a>Sankey graphs from Rdada2 1.8.0 
  data.table-1.11.2  Extension of data.framedatasets built in 
  dbplyr-1.2.1  A ‘dplyr’ Back End for Databasesddalpha-1.3.3  Depth-Based Classification and Calculation of Data DepthdeSolve-1.21  Solvers for Initial Value Problems of Differential Equations
(‘ODE’, ‘DAE’, ‘DDE’)deal-1.2-37  Learning Bayesian Networks with Mixed Variablesdebugme-1.1.0  Debug R Packagesdegreenet-1.3-3  Models for Skewed Count Distributions Relevant to Networksdeldir-0.1-15  Delaunay Triangulation and Dirichlet (Voronoi) Tessellationderfinder 1.14.0 
  derfinderHelper 1.14.0 
  desc-1.2.0  Manipulate DESCRIPTION Filesdescr-1.1.4  Descriptive Statisticsdevtools-1.13.5  Tools to Make Developing R Packages Easierdfoptim-2018.2-1  Derivative-Free Optimizationdiamonds-1.0-5  Analysis and sampling grids from diamond partitionsdichromat-2.0-0  Color Schemes for Dichromatsdigest-0.6.15  Create Compact Hash Digests of R ObjectsdimRed-0.1.0  A Framework for Dimensionality Reductiondiptest-0.75-7  Hartigan’s Dip Test Statistic for Unimodality - Correcteddismo-1.1-4  Species Distribution Modelingdistillery-1.0-4  Method Functions for Confidence Intervals and to Distill
Information from an ObjectdiveRsity-1.9.90  A Comprehensive, General Purpose Population Genetics Analysis
PackagedoAzureParallel 0.5.0 
  doMC-1.3.5  Foreach Parallel Adaptor for ‘parallel’doMPI-0.2.2  Foreach Parallel Adaptor for the Rmpi PackagedoParallel-1.0.11  Foreach Parallel Adaptor for the ‘parallel’ PackagedoRNG-1.6.6  Generic Reproducible Parallel Backend for ‘foreach’ LoopsdoSNOW-1.0.16  Foreach Parallel Adaptor for the ‘snow’ PackagedotCall64-0.9-5.2  Enhanced Foreign Function Interface Supporting Long Vectorsdownloader-0.4  Download Files over HTTP and HTTPSdplyr-0.7.4  A Grammar of Data Manipulationdummies-1.5.6  Create dummy/indicator variables flexibly and efficientlye1071-1.6-8  Misc Functions of the Department of Statistics, Probability
Theory Group (Formerly: E1071), TU WienedgeR 3.22.1 
  elasticnet-1.1  Elastic-Net for Sparse Estimation and Sparse PCAellipse-0.4.1  Functions for Drawing Ellipses and Ellipse-Like Confidence
Regionsensembldb 2.4.1 
  ergm-3.8.0  Fit, Simulate and Diagnose Exponential-Family Models for
Networksergm.count-3.2.2  Fit, Simulate and Diagnose Exponential-Family Models for
Networks with Count Edgesevaluate-0.10.1  Parsing and Evaluation Tools that Provide More Details than the
Defaultexpm-0.999-2  Matrix Exponential, Log, ‘etc’expsmooth-2.3  Data Sets from “Forecasting with Exponential Smoothing”extRemes-2.0-8  Extreme Value Analysisextrafont-0.17  Tools for using fontsextrafontdb-1.0  Package for holding the database for the extrafont packagefail-1.3  File Abstraction Interface Layer (FAIL)fastICA-1.2-1  FastICA Algorithms to Perform ICA and Projection Pursuitfastcluster-1.1.24  Fast Hierarchical Clustering Routines for R and ‘Python’fastmatch-1.1-0  Fast match() functionfastseg 1.26.0 
  fasttime-1.0-2  Fast Utility Function for Time Parsing and Conversionfda-2.4.7  Functional Data Analysisfdrtool-1.2.15  Estimation of (Local) False Discovery Rates and Higher Criticismfeather-0.3.1  R Bindings to the Feather ‘API’ff-2.2-13  Memory-Efficient Storage of Large Data on Disk and Fast Access
Functionsffbase-0.12.3  Basic Statistical Functions for Package ‘ff’fftw-1.0-4  Fast FFT and DCT Based on the FFTW Libraryfftwtools-0.9-8  Wrapper for ‘FFTW3’ Includes: One-Dimensional Univariate,
One-Dimensional Multivariate, and Two-Dimensional Transformfields-9.6  Tools for Spatial Datafilehash-2.4-1  Simple Key-Value Databasefit.models-0.5-14  Compare Fitted ModelsflashClust-1.01-2  Implementation of optimal hierarchical clusteringflexclust-1.3-5  Flexible Cluster Algorithmsflexmix-2.3-14  Flexible Mixture ModelingflowClust 3.18.0 
  flowCore 1.46.0 
  flowStats 3.38.0 
  flowViz 1.44.0 
  flowWorkspace 3.28.1 
  fma-2.3  Data Sets from “Forecasting: Methods and Applications” by
Makridakis, Wheelwright & Hyndman (1998)forcats-0.3.0  Tools for Working with Categorical Variables (Factors)foreach-1.4.4  Provides Foreach Looping Construct for Rforecast-8.3  Forecasting Functions for Time Series and Linear Modelsforeign-0.8-70  Read Data Stored by ‘Minitab’, ‘S’, ‘SAS’, ‘SPSS’, ‘Stata’,
‘Systat’, ‘Weka’, ‘dBase’, …formatR-1.5  Format R Code Automaticallyfossil-0.3.7  Palaeoecological and Palaeogeographical Analysis Toolsfpc-2.1-11  Flexible Procedures for Clusteringfpp-0.5  Data for “Forecasting: principles and practice”fracdiff-1.4-2  Fractionally differenced ARIMA aka ARFIMA(p,d,q) modelsfts-0.9.9  R interface to tslib (a time series library in c++)futile.logger-1.4.3  A Logging Utility for Rfutile.options-1.0.1  Futile Options Managementgage 2.30.0 
  gam-1.15  Generalized Additive Modelsgamlss.data-5.0-1  GAMLSS Datagamlss.dist-5.0-5  Distributions for Generalized Additive Models for Location Scale
and Shapegamm4-0.2-5  Generalized Additive Mixed Models using ‘mgcv’ and ‘lme4’gap-1.1-21  Genetic Analysis Packagegbm-2.1.3  Generalized Boosted Regression Modelsgclus-1.3.1  Clustering Graphicsgcrma 2.52.0 
  gdata-2.18.0  Various R Programming Tools for Data Manipulationgdsfmt-1.16.0  R Interface to CoreArray Genomic Data Structure (GDS) filesgeepack-1.2-1  Generalized Estimating Equation Packagegeiger-2.0.6  Analysis of Evolutionary DiversificationgeneLenDataBase 1.16.0 
  genefilter 1.62.0 
  geneplotter 1.58.0 
  genoset 1.36.0 
  geometry-0.3-6  Mesh Generation and Surface Tesselationgetopt-1.20.2  C-Like ‘getopt’ BehaviorggExtra-0.8  Add Marginal Histograms to ‘ggplot2’, and More ‘ggplot2’
Enhancementsggbio 1.28.0 
  ggm-2.3  Functions for graphical Markov modelsggplot2-2.2.1  Create Elegant Data Visualisations Using the Grammar of Graphicsggrepel-0.8.0  Automatically Position Non-Overlapping Text Labels with
‘ggplot2’ggthemes-3.5.0  Extra Themes, Scales and Geoms for ‘ggplot2’ggtree 1.12.0 
  ggvis-0.4.3  Interactive Grammar of Graphicsgit2r-0.21.0  Provides Access to Git Repositoriesglasso-1.8  Graphical lasso- estimation of Gaussian graphical modelsglmnet-2.0-16  Lasso and Elastic-Net Regularized Generalized Linear Modelsglmpath-0.98  L1 Regularization Path for Generalized Linear Models and Cox
Proportional Hazards Modelglue-1.2.0  Interpreted String Literalsgmm-1.6-2  Generalized Method of Moments and Generalized Empirical
Likelihoodgmodels-2.16.2  Various R Programming Tools for Model Fittinggoftest-1.1-1  Classical Goodness-of-Fit Tests for Univariate Distributionsgoseq 1.32.0 
  gower-0.1.2  Gower’s Distancegplots-3.0.1  Various R Programming Tools for Plotting DatagrDevices built in 
  graph-1.58.0  graph: A package to handle graph data structuresgraphics built in 
  grid built in 
  gridBase-0.4-7  Integration of base and grid graphicsgridExtra-2.3  Miscellaneous Functions for “Grid” Graphicsgrpreg-3.1-3  Regularization Paths for Regression Models with Grouped
Covariatesgsalib-2.1  Utility Functions For GATKgsl-1.9-10.3  Wrapper for the Gnu Scientific Librarygsubfn-0.7  Utilities for Strings and Function Argumentsgtable-0.2.0  Arrange ‘Grobs’ in Tablesgtools-3.5.0  Various R Programming Toolshapassoc-1.2-8  Inference of Trait Associations with SNP Haplotypes and Other
Attributes using the EM Algorithmhaplo.stats-1.7.9  Statistical Analysis of Haplotypes with Traits and Covariates
when Linkage Phase is Ambiguoushaven-1.1.1  Import and Export ‘SPSS’, ‘Stata’ and ‘SAS’ Fileshexbin-1.27.2  Hexagonal Binning Routineshgu133plus2.db 3.2.3 
  highr-0.6  Syntax Highlighting for R Source Codehms-0.4.2  Pretty Time of Dayhopach-2.40.0  Hierarchical Ordered Partitioning and Collapsing Hybrid (HOPACH)htmlTable-1.11.2  Advanced Tables for Markdown/HTMLhtmltools-0.3.6  Tools for HTMLhtmlwidgets-1.2  HTML Widgets for Rhttpcode-0.2.0  ‘HTTP’ Status Code Helperhttpuv-1.4.2  HTTP and WebSocket Server Libraryhttr-1.3.1  Tools for Working with URLs and HTTPhuge-1.2.7  High-Dimensional Undirected Graph Estimationhwriter-1.3.2  HTML Writer - Outputs R objects in HTML formatidr-1.2  Irreproducible discovery rateigraph-1.2.1  Network Analysis and Visualizationigraphdata-1.0.1  A Collection of Network Data Sets for the ‘igraph’ Packageilluminaio 0.22.0 
  impute-1.54.0  impute: Imputation for microarray dataineq-0.2-13  Measuring Inequality, Concentration, and Povertyinferference-1.0.0  Methods for Causal Inference with InterferenceinfluenceR-0.1.0  Software Tools to Quantify Structural Importance of Nodes in a
Networkinfotheo-1.2.0  Information-Theoretic Measuresinline-0.3.14  Functions to Inline C, C++, Fortran Function Calls from RinteractiveDisplayBase 1.18.0 
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Components Analysis for Large Dense and Sparse Matricesiterators-1.0.9  Provides Iterator Construct for Ritertools-0.1-3  Iterator Toolsits-1.1.8  Irregular Time Seriesjpeg-0.1-8  Read and write JPEG imagesjsonlite-1.5  A Robust, High Performance JSON Parser and Generator for Rkernlab-0.9-26  Kernel-Based Machine Learning Labkin.cohort-0.7  Analysis of Kin-Cohort Studieskinship2-1.6.4  Pedigree FunctionsklaR-0.6-14  Classification and Visualizationknitr-1.20  A General-Purpose Package for Dynamic Report Generation in Rkohonen-3.0.4  Supervised and Unsupervised Self-Organising Mapsks-1.11.1  Kernel Smoothingkyotil-2017.12-27  Utility Functions for Statistical Analysis Report Generation and
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