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r-recommended

r-recommended GNU R collection of recommended packages [metapackage]
Priority
Sectionmath
Installed size 44
Maintainer Dirk Eddelbuettel <edd@debian.org>
Architecture all
Version 2.4.0.20061125-1
Depends r-base-core (>= 2.4.0.20061125-1), r-cran-boot (>= 1.2.19), r-cran-cluster (>= 1.9.6-2), r-cran-foreign (>= 0.7-2), r-cran-kernsmooth (>= 2.2.14), r-cran-lattice (>= 0.10.11), r-cran-mgcv (>= 1.1.5), r-cran-nlme (>= 3.1.52), r-cran-rpart (>= 3.1.20), r-cran-survival (>= 2.13.2-1), r-cran-vr (>= 7.2.8)
Suggests r-base-core, xpdf-reader | pdf-viewer
File name pool/main/r/r-base/r-recommended_2.4.0.20061125-1_all.deb
Description R is `GNU S' - A language and environment for statistical computing and graphics. R is similar to the award-winning S system, which was developed at Bell Laboratories by John Chambers et al. It provides a wide variety of statistical and graphical techniques (linear and nonlinear modelling, statistical tests, time series analysis, classification, clustering, ...). . 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) - VR: The 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.) - 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.


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