Source: r-base
Section: gnu-r
Priority: optional
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Standards-Version: 4.7.2
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, libncurses-dev, libreadline-dev, debhelper-compat (= 13), texinfo, libbz2-dev, liblzma-dev, libpcre2-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, libtiff-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-any !hurd-any] | openjdk-10-jdk [!arm !hppa !kfreebsd-any !hurd-any], mpack, bash-completion, libtirpc-dev
Vcs-Browser: https://salsa.debian.org/edd/r-base
Vcs-Git: https://salsa.debian.org/edd/r-base.git
Homepage: https://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-<name>'.
 .
 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, ${shlibs:Depends}, ucf (>= 3.0), ca-certificates
Replaces: r-base (<= 1.4.1-1), r-recommended (<< 1.9.0)
Provides: r-api-4.0, r-graphics-engine-${graphicsengine:Version}
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-bioccheck (<< 1.42.1+dfsg-2~),
        r-bioc-graph (<< 1.84.1-2~),
        r-bioc-iranges (<< 2.40.1-3~),
        r-bioc-pwalign (<< 1.2.0-3~),
        r-cran-rlang (<< 1.1.5-2~),
        r-cran-testthat (<< 3.2.3~)
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-<name>'.
 .
 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, libncurses-dev, libreadline-dev, libjpeg-dev, libpcre2-dev, libpng-dev, zlib1g-dev, libbz2-dev, liblzma-dev, libicu-dev, xauth, pkgconf, libtirpc-dev, libdeflate-dev, libzstd-dev
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-<name>'.
 .
 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-<name>'.
 .
 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-<name>'.
 .
 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-<name>'.
 .
 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-<name>'.
 .
 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-<name>'.
 .
 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-<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.


