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R | Statistical language for data analysis and graphics | |

R-BH (V) | Boost C++ header files | |

R-BiocGenerics (V) | Generic functions for Bioconductor | |

R-C50 (V) | C5.0 decision trees and rule-based models | |

R-CGIwithR | Facilities for the use of R to write CGI scripts | |

R-Cairo (V) | R graphics device using cairo graphics library | |

R-DAAG | Data analysis and graphics data and functions | |

R-DBI | R database interface | |

R-DEoptimR | Differential evolution optimization in pure R | |

R-DT (V) | A Wrapper of the JavaScript Library 'DataTables' | |

R-FNN | Fast nearest neighbor search algorithms and applications | |

R-Formula | Extended model formulas | |

R-GRASS | Interface between GRASS 5.0 geographical information system and R | |

R-Hmisc (V) | Harrell miscellaneous | |

R-IRdisplay (V) | Jupyter display machinery | |

R-IRkernel (V) | Native R kernel for the Jupyter notebook | |

R-ISLR | Data for the ISLR book | |

R-ISwR | Data sets and scripts for 'Introductory Statistics with R' | |

R-MatrixModels | Modelling with sparse and dense matrices | |

R-MySQL (V) | R interface for MySQL | |

R-PHYLOGR | Functions for phylogenetically based statistical analyses | |

R-R2HTML | HTML exportation for R objects | |

R-R6 (V) | Encapsulated classes with reference semantics | |

R-RArcInfo | Functions to import data from Arc/Info V7.x binary coverages | |

R-RColorBrewer | ColorBrewer palettes | |

R-RNetCDF | Interface to NetCDF datasets | |

R-RPostgreSQL | R interface to the PostgreSQL database system | |

R-RSQLite (V) | 'SQLite' interface for R | |

R-RUnit (V) | R functions implementing a standard Unit Testing framework | |

R-RandomFields | Simulation and analysis of random fields | |

R-RandomFieldsUtils | Utilities for the simulation and analysis of random fields | |

R-Rcmdr | Platform-independent basic-statistics GUI for R | |

R-RcmdrMisc | R Commander miscellaneous functions | |

R-RcppArmadillo | Rcpp integration for the Armadillo templated linear algebra library | |

R-RcppEigen | Rcpp integration for the Eigen templated linear algebra library | |

R-Rgraphviz (V) | Plotting capabilities for R graph objects | |

R-Rserve (V) | TCP/IP server which allows other programs to use facilities of R | |

R-SparseM | Sparse linear algebra | |

R-TTR (V) | Technical trading rules | |

R-VGAM | Vector generalized linear and additive models | |

R-XML | Tools for parsing and generating XML within R | |

R-abind | Combine multi-dimensional arrays | |

R-acepack | ACE and AVAS for selecting multiple regression transformations | |

R-akima | Interpolation of irregularly and regularly spaced data | |

R-aplpack | Functions for drawing special plots | |

R-askpass (V) | Safe password entry for R, Git, and SSH | |

R-assertthat (V) | Easy pre and post assertions | |

R-backports | Reimplementations of functions introduced since R-3.0.0 | |

R-base64enc (V) | Tools for base64 encoding | |

R-bayesm (V) | Bayesian inference for marketing/micro-econometrics | |

R-bbmle | Tools for general maximum likelihood estimation | |

R-biganalytics (V) | Library of utilities for big.matrix objects of package bigmemory | |

R-bigmemory (V) | Manage massive matrices with shared memory and memory-mapped files | |

R-bigmemory.sri (V) | Shared resource interface for Bigmemory Project packages | |

R-bigtabulate (V) | R table, tapply, and split-like functionality for (big.)matrix objects | |

R-bindr (V) | Parametrized active bindings | |

R-bit (V) | Class for vectors of 1-bit booleans | |

R-bit64 (V) | S3 class for vectors of 64-bit integers | |

R-bitops | Functions for bitwise operations on integer vectors | |

R-blob (V) | Simple S3 class for representing vectors of binary data ('BLOBS') | |

R-bnlearn (V) | Bayesian network structure learning, parameter learning and inference | |

R-brew (V) | Templating framework for report generation | |

R-callr (V) | Call R from R | |

R-car | Companion to 'Applied Regression' | |

R-carData | Companion to 'Applied Regression' data sets | |

R-cellranger (V) | Translate spreadsheet cell ranges to rows and columns | |

R-checkmate (V) | Fast and versatile argument checks | |

R-chron | Chronological objects which can handle dates and times | |

R-circular | Circular statistics | |

R-classInt | Choose univariate class intervals | |

R-cli (V) | Helpers for developing command line interfaces | |

R-cliapp (V) | Create Rich Command Line Applications | |

R-clim.pact | Climate analysis and downscaling for monthly and daily data | |

R-clipr (V) | Read and write from the system clipboard | |

R-clisymbols (V) | Unicode symbols at the R prompt | |

R-coda | Output analysis and diagnostics for MCMC | |

R-colorspace (V) | Toolbox for manipulating and assessing colors and palettes | |

R-colourpicker (V) | Colour picker tool for Shiny and for selecting colours in plots | |

R-combinat | Combinatorics utilities | |

R-commonmark (V) | High performance commonmark and Github Markdown rendering in R | |

R-compositions | Compositional data analysis | |

R-covr (V) | Test Coverage for Packages | |

R-crayon (V) | Colored terminal output | |

R-crosstalk (V) | Inter-Widget Interactivity for HTML Widgets | |

R-cubature (V) | Adaptive Multivariate Integration over Hypercubes | |

R-curl (V) | Modern and flexible web client for R | |

R-cyclocomp (V) | Cyclomatic Complexity of R Code | |

R-data.table (V) | Extension of 'data.frame' | |

R-date | Functions for handling dates | |

R-desc (V) | Manipulate DESCRIPTION files | |

R-devtools (V) | Tools to make developing R packages easier | |

R-dichromat (V) | Color schemes for dichromats | |

R-doParallel (V) | Foreach parallel adaptor for the parallel package | |

R-dplyr | Grammar of data manipulation | |

R-e1071 | Misc Functions of the Department of Statistics (e1071), TU Wien | |

R-easySVG (V) | Easy SVG Basic Elements Generator | |

R-effects (V) | Effect displays for linear, generalized linear, and other models | |

R-ellipsis | Tools for working with ... | |

R-emdbook | Support functions and data for Ecological Models and Data | |

R-energy | E-statistics: multivariate inference via the energy of data |