Source: r-base Section: gnu-r Priority: optional Maintainer: Dirk Eddelbuettel Standards-Version: 4.6.1 Build-Depends: gcc (>= 4:4.9.2-2), g++ (>= 4:4.9.2-2), gfortran (>= 4:4.9.2-2), libblas-dev, liblapack-dev, tcl8.6-dev, tk8.6-dev, bison, groff-base, libncurses5-dev, libreadline-dev, debhelper-compat (= 12), texinfo, libbz2-dev, liblzma-dev, libpcre2-dev, libpcre3-dev, libcurl4-openssl-dev | libcurl4-dev, xdg-utils, zlib1g-dev, libpng-dev, libjpeg-dev, libx11-dev, libxt-dev, x11proto-core-dev, libpango1.0-dev, libcairo2-dev, libtiff5-dev, xvfb, xauth, xfonts-base, texlive-base, texlive-latex-base, texlive-plain-generic, texlive-fonts-recommended, texlive-fonts-extra, texlive-extra-utils, texlive-latex-recommended, texlive-latex-extra, default-jdk [!arm !hppa !kfreebsd-i386 !kfreebsd-amd64 !hurd-i386] | openjdk-10-jdk [!arm !hppa !kfreebsd-i386 !kfreebsd-amd64 !hurd-i386], mpack, bash-completion Vcs-Browser: https://salsa.debian.org/edd/r-base Vcs-Git: https://salsa.debian.org/edd/r-base.git Homepage: http://www.r-project.org/ Package: r-base Architecture: all Depends: ${misc:Depends}, r-base-core (>= ${source:Version}), r-recommended (= ${source:Version}) Recommends: r-base-html, r-doc-html Suggests: elpa-ess, r-doc-info | r-doc-pdf Description: GNU R statistical computation and graphics system 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-'. . This package is a metapackage which eases the transition from the pre-1.5.0 package setup with its larger r-base package. Once installed, it can be safely removed and apt-get will automatically upgrade its components during future upgrades. Providing this package gives a way to users to then only install r-base-core if they so desire. Package: r-base-core Architecture: any Depends: ${misc:Depends}, zip, unzip, libpaper-utils, xdg-utils, ${shlibs:Depends}, ucf (>= 3.0), ca-certificates Replaces: r-base (<= 1.4.1-1), r-recommended (<< 1.9.0), r-gnome (<= 2.3.1), r-cran-rcompgen (<= 0.1-17-1), r-base-latex (<= 2.9.2-4) Provides: r-gnome, r-cran-rcompgen, r-base-latex, r-api-4.0 Conflicts: r-gnome, r-cran-rcompgen, r-base-latex Recommends: r-recommended, r-base-dev, r-doc-html Suggests: elpa-ess, r-doc-info | r-doc-pdf, r-mathlib, r-base-html Breaks: r-bioc-graph (<< 1.62.0-1~), r-cran-bbmle (<< 1.0.20-5~), r-cran-biocmanager (<< 1.30.4+dfsg-2~), r-cran-caret (<< 6.0-84-2~), r-cran-cmprsk (<< 2.2-8-1~), r-cran-coin (<< 1.3-0-1~), r-cran-dendextend (<< 1.12.0+dfsg-1~), r-cran-fields (<< 9.8-3-1~), r-cran-filehash (<< 2.4-2-2~), r-cran-future (<< 1.14.0+dfsg-1~), r-cran-genetics (<< 1.3.8.1.2-1~), r-cran-haplo.stats (<< 1.7.9-4~), r-cran-igraph (<< 1.2.4.1-1~), r-cran-lava (<< 1.6.5-1~), r-cran-libcoin (<< 1.0-4-1~), r-cran-msm (<< 1.6.7-1~), r-cran-permute (<< 0.9-5-1~), r-cran-phangorn (<< 2.5.5-1~), r-cran-popepi (<< 0.4.7-1~), r-cran-recipes (<< 0.1.6-1~), r-cran-sp (<< 1:1.3-1-2~), r-cran-spam (<< 2.2-2-1~), r-cran-units (<< 0.6-3-1~), r-cran-vegan (<< 2.5-5+dfsg-1~), r-cran-zelig (<< 5.1.6.1-1~) Description: GNU R core of statistical computation and graphics system 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-'. . This package provides the core GNU R system from which only the optional documentation packages r-base-html, r-doc-html, r-doc-pdf and r-doc-info have been split off to somewhat reduce the size of this package. Package: r-base-dev Architecture: all Depends: ${misc:Depends}, r-base-core (>= ${source:Version}), build-essential, gcc, g++, gfortran, libblas-dev | libatlas-base-dev, liblapack-dev | libatlas-base-dev, libncurses5-dev, libreadline-dev, libjpeg-dev, libpcre2-dev, libpcre3-dev, libpng-dev, zlib1g-dev, libbz2-dev, liblzma-dev, libicu-dev, xauth, pkg-config Suggests: texlive-base, texlive-latex-base, texlive-plain-generic, texlive-fonts-recommended, texlive-fonts-extra, texlive-extra-utils, texlive-latex-recommended, texlive-latex-extra, texinfo Description: GNU R installation of auxiliary GNU R packages 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-'. . This package ensures that other Debian packages needed for installation of some auxiliary R packages are installed. Package: r-mathlib Architecture: any Depends: ${misc:Depends}, ${shlibs:Depends} Recommends: r-base-core (= ${binary:Version}), r-base-dev (= ${binary:Version}) Description: GNU R standalone mathematics library 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-'. . This package provides the libRmath shared and static libraries which can be called from standalone C or C++ code. Package: r-base-html Architecture: all Priority: optional Section: doc Depends: ${misc:Depends}, r-base-core Replaces: r-base (<= 1.4.1-1), r-recommended (<< 1.9.0) Suggests: r-doc-html, mozilla | www-browser Description: GNU R html docs for statistical computing system functions 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-'. . This package provides html documentation suitable for browsing with a web-browser for the libraries included in the r-base package. It is not a required package as the same documentation is already included for on-line browsing. Package: r-doc-pdf Architecture: all Section: doc Depends: ${misc:Depends} Suggests: r-base-core, xdg-utils | pdf-viewer Description: GNU R pdf manuals for statistical computing system 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-'. . This package provides the R manuals in pdf format. The sibling packages r-doc-html and r-doc-info provides the same manuals. Package: r-doc-html Architecture: all Section: doc Depends: ${misc:Depends} Suggests: r-base-core, mozilla | www-browser Replaces: r-base (<= 1.4.1-1) Description: GNU R html manuals for statistical computing system 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-'. . This package provides the R manuals in html format. The sibling packages r-doc-pdf and r-doc-info provides the same manuals. Package: r-doc-info Architecture: all Section: doc Depends: ${misc:Depends} Replaces: r-base (<= 1.4.1-1) Suggests: r-base-core, info (>= 3.12) | info-browser Description: GNU R info manuals statistical computing system 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-'. . This package provides the R manuals in info format. The sibling packages r-doc-html and r-doc-pdf provide the same manuals. Package: r-recommended Architecture: all Depends: ${misc:Depends}, r-base-core (>= ${binary:Version}), 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-mass, r-cran-class, r-cran-nnet, r-cran-spatial, r-cran-codetools, r-cran-matrix Description: 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-'. . 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.