Package: rrecommended (3.4.22)
Links for rrecommended
Debian Resources:
Download Source Package rbase:
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External Resources:
 Homepage [www.rproject.org]
Similar packages:
GNU R collection of recommended packages [metapackage]
R is a system for statistical computation and graphics. It consists of a language plus a runtime environment with graphics, a debugger, access to certain system functions, and the ability to run programs stored in script files.
The design of R has been heavily influenced by two existing languages: Becker, Chambers & Wilks' S and Sussman's Scheme. Whereas the resulting language is very similar in appearance to S, the underlying implementation and semantics are derived from Scheme.
The core of R is an interpreted computer language which allows branching and looping as well as modular programming using functions. Most of the uservisible functions in R are written in R. It is possible for the user to interface to procedures written in the C, C++, or FORTRAN languages for efficiency, and many of R's core functions do so. The R distribution contains functionality for a large number of statistical procedures and underlying applied math computations. There is also a large set of functions which provide a flexible graphical environment for creating various kinds of data presentations.
Additionally, several thousand extension "packages" are available from CRAN, the Comprehensive R Archive Network, many also as Debian packages, named 'rcran<name>'.
This Debian package is now a metapackage that depends on a set of packages that are recommended by the upstream R core team as part of a complete R distribution, and distributed along with the source of R itself, as well as directly via the CRAN network of mirrors. This set comprises the following packages (listed in their upstream names):
 KernSmooth: Functions for kernel smoothing for Wand & Jones (1995)  Matrix: Classes and methods for dense and sparse matrices and operations on them using Lapack and SuiteSparse  MASS, class, nnet and spatial: packages from Venables and Ripley, `Modern Applied Statistics with S' (4th edition).  boot: Bootstrap R (SPlus) Functions from the book "Bootstrap Methods and Their Applications" by A.C. Davison and D.V. Hinkley (1997).  cluster: Functions for clustering (by Rousseeuw et al.)  codetools: Code analysis tools for R  foreign: Read data stored by Minitab, S, SAS, SPSS, Stata, ...  lattice: Implementation of Trellis (R) graphics  mgcv: Multiple smoothing parameter estimation and GAMs by GCV  nlme: Linear and nonlinear mixed effects models  rpart: Recursive partitioning and regression trees  survival: Survival analysis, including penalised likelihood.
Other Packages Related to rrecommended





 dep: rbasecore (>= 3.4.22)
 GNU R core of statistical computation and graphics system

 dep: rcranboot (>= 1.2.19)
 GNU R package for bootstrapping functions from Davison and Hinkley

 dep: rcranclass
 GNU R package for classification

 dep: rcrancluster (>= 1.9.62)
 GNU R package for cluster analysis by Rousseeuw et al

 dep: rcrancodetools
 GNU R package providing code analysis tools

 dep: rcranforeign (>= 0.72)
 GNU R package to read/write data from other stat. systems

 dep: rcrankernsmooth (>= 2.2.14)
 GNU R package for kernel smoothing and density estimation

 dep: rcranlattice (>= 0.10.11)
 GNU R package for 'Trellis' graphics

 dep: rcranmass
 GNU R package of Venables and Ripley's MASS

 dep: rcranmatrix
 GNU R package of classes for dense and sparse matrices

 dep: rcranmgcv (>= 1.1.5)
 GNU R package for multiple parameter smoothing estimation

 dep: rcrannlme (>= 3.1.52)
 GNU R package for (non)linear mixed effects models

 dep: rcrannnet
 GNU R package for feedforward neural networks

 dep: rcranrpart (>= 3.1.20)
 GNU R package for recursive partitioning and regression trees

 dep: rcranspatial
 GNU R package for spatial statistics

 dep: rcransurvival (>= 2.13.21)
 GNU R package for survival analysis
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