软件包：r-recommended（4.2.2.20221110-2）
r-recommended 的相关链接
Debian 的资源：
下载源码包 r-base：
- [r-base_4.2.2.20221110-2.dsc]
- [r-base_4.2.2.20221110.orig.tar.gz]
- [r-base_4.2.2.20221110-2.debian.tar.xz]
维护者：
外部的资源：
- 主页 [www.r-project.org]
相似软件包：
GNU R collection of recommended packages [metapackage]
R is a system for statistical computation and graphics. It consists of a language plus a run-time 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 user-visible 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 'r-cran-<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 (S-Plus) 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.
其他与 r-recommended 有关的软件包
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- dep: r-base-core (>= 4.2.2.20221110-2)
- GNU R core of statistical computation and graphics system
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- dep: r-cran-boot (>= 1.2.19)
- GNU R package for bootstrapping functions from Davison and Hinkley
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- dep: r-cran-class
- GNU R package for classification
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- dep: r-cran-cluster (>= 1.9.6-2)
- GNU R package for cluster analysis by Rousseeuw et al
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- dep: r-cran-codetools
- GNU R package providing code analysis tools
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- dep: r-cran-foreign (>= 0.7-2)
- GNU R package to read/write data from other stat. systems
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- dep: r-cran-kernsmooth (>= 2.2.14)
- GNU R package for kernel smoothing and density estimation
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- dep: r-cran-lattice (>= 0.10.11)
- GNU R package for 'Trellis' graphics
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- dep: r-cran-mass
- GNU R package of Venables and Ripley's MASS
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- dep: r-cran-matrix
- GNU R package of classes for dense and sparse matrices
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- dep: r-cran-mgcv (>= 1.1.5)
- GNU R package for multiple parameter smoothing estimation
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- dep: r-cran-nlme (>= 3.1.52)
- GNU R package for (non-)linear mixed effects models
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- dep: r-cran-nnet
- GNU R package for feed-forward neural networks
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- dep: r-cran-rpart (>= 3.1.20)
- GNU R package for recursive partitioning and regression trees
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- dep: r-cran-spatial
- GNU R package for spatial statistics
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- dep: r-cran-survival (>= 2.13.2-1)
- GNU R package for survival analysis