R-3.4.3-GCC-5.4.0-2.26

Package List

• BH-1.65.0-1 Boost C++ Header Files
• Biobase 2.38.0
• BiocGenerics 0.24.0
• Biostrings 2.46.0
• DBI-0.7 R Database Interface
• DNAcopy 1.52.0
• GENESIS 2.8.1
• GWASExactHW-1.01 Exact Hardy-Weinburg testing for Genome Wide Association Studies
• GWASTools 1.24.1
• GenomeInfoDb 1.14.0
• GenomeInfoDbData 1.0.0
• GenomicRanges 1.30.1
• IRanges 2.12.0
• MASS-7.3-48 Support Functions and Datasets for Venables and Ripley’s MASS
• Matrix-1.2-12 Sparse and Dense Matrix Classes and Methods
• MatrixModels-0.4-1 Modelling with Sparse And Dense Matrices
• R6-2.2.2 Classes with Reference Semantics
• RCurl-1.95-4.10 General Network (HTTP/FTP/…) Client Interface for R
• RSQLite-2.0 ‘SQLite’ Interface for R
• Rcpp-0.12.15 Seamless R and C++ Integration
• S4Vectors 0.16.0
• SeqArray 1.18.2
• SeqVarTools 1.16.0
• SparseM-1.77 Sparse Linear Algebra
• XVector 0.18.0
• assertthat-0.2.0 Easy Pre and Post Assertions
• base built in
• bindr-0.1 Parametrized Active Bindings
• bindrcpp-0.2 An ‘Rcpp’ Interface to Active Bindings
• bit-1.1-12 A Class for Vectors of 1-Bit Booleans
• bit64-0.9-7 A S3 Class for Vectors of 64bit Integers
• bitops-1.0-6 Bitwise Operations
• blob-1.1.0 A Simple S3 Class for Representing Vectors of Binary Data (‘BLOBS’)
• cli-1.0.0 Helpers for Developing Command Line Interfaces
• compiler built in
• crayon-1.3.4 Colored Terminal Output
• datasets built in
• digest-0.6.15 Create Compact Hash Digests of R Objects
• dplyr-0.7.4 A Grammar of Data Manipulation
• gdsfmt-1.14.1 R Interface to CoreArray Genomic Data Structure (GDS) files
• glue-1.2.0 Interpreted String Literals
• grDevices built in
• graph-1.56.0 graph: A package to handle graph data structures
• graphics built in
• grid built in
• lattice-0.20-35 Trellis Graphics for R
• lmtest-0.9-35 Testing Linear Regression Models
• logistf-1.22 Firth’s Bias-Reduced Logistic Regression
• magrittr-1.5 A Forward-Pipe Operator for R
• memoise-1.1.0 Memoisation of Functions
• methods built in
• mgcv-1.8-23 Mixed GAM Computation Vehicle with Automatic Smoothness Estimation
• mice-2.46.0 Multivariate Imputation by Chained Equations
• nlme-3.1-131 Linear and Nonlinear Mixed Effects Models
• nnet-7.3-12 Feed-Forward Neural Networks and Multinomial Log-Linear Models
• pillar-1.1.0 Coloured Formatting for Columns
• pkgconfig-2.0.1 Private Configuration for ‘R’ Packages
• plogr-0.1-1 The ‘plog’ C++ Logging Library
• purrr-0.2.4 Functional Programming Tools
• quantreg-5.34 Quantile Regression
• quantsmooth 1.44.0
• rlang-0.1.6 Functions for Base Types and Core R and ‘Tidyverse’ Features
• rpart-4.1-12 Recursive Partitioning and Regression Trees
• sandwich-2.4-0 Robust Covariance Matrix Estimators
• splines built in
• stats built in
• stats4 built in
• stringi-1.1.6 Character String Processing Facilities
• survival-2.41-3 Survival Analysis
• tibble-1.4.2 Simple Data Frames
• tidyr-0.8.0 Easily Tidy Data with ‘spread()’ and ‘gather()’ Functions
• tidyselect-0.2.3 Select from a Set of Strings
• tools built in
• utf8-1.1.3 Unicode Text Processing
• utils built in
• zlibbioc 1.24.0
• zoo-1.8-1 S3 Infrastructure for Regular and Irregular Time Series (Z’s Ordered Observations)