The R Project SVN R

Source: r-base

Section: math

Priority: optional

Maintainer: Dirk Eddelbuettel <edd@debian.org>

Uploaders: Douglas Bates <bates@stat.wisc.edu>

Standards-Version: 3.6.1.0

Build-Depends: blas-dev (>= 1.0-9), lapack-dev, libgnome-dev, libzvt-dev, libgtkxmhtml-dev, tcl8.4-dev, tk8.4-dev, libglade-gnome0-dev, bison, g77 [!m68k], f2c [m68k], g++, groff-base, libncurses5-dev, libreadline4-dev, debhelper (>= 3.0.0), texi2html, texinfo (>= 4.1-2), libbz2-dev, libpcre3-dev, libpaperg-dev, tetex-bin, tetex-extra, xpdf-reader

Package: r-base

Architecture: all

Depends: r-base-core, r-base-html, r-base-latex

Suggests: libpaperg, ess, r-doc-info | r-doc-pdf | r-doc-html

Description: GNU R statistical computing language and environment

 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, ...).

 .

 R is designed as a true computer language with control-flow

 constructions for iteration and alternation, and it allows users to

 add additional functionality by defining new functions. For

 computationally intensive tasks, C, C++ and Fortran code can be

 linked and called at run time.

 .

 S is the statistician's Matlab and R is to S what Octave is to Matlab.

 .

 This packages is a meta-package 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 packages gives a way to users to 

 then only install r-base-core (but not, say, r-base-latex) if they so desire.

Package: r-base-core

Architecture: any

Depends: ${perl:Depends}, zlib-bin, ${shlibs:Depends}

Replaces: r-base (<= 1.4.1-1)

Recommends: r-recommended, r-base-dev

Suggests: libpaperg, ess, r-doc-info | r-doc-pdf | r-doc-html

Description: GNU R core of statistical computing language and environment

 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, ...).

 .

 R is designed as a true computer language with control-flow

 constructions for iteration and alternation, and it allows users to

 add additional functionality by defining new functions. For

 computationally intensive tasks, C, C++ and Fortran code can be

 linked and called at run time.

 .

 S is the statistician's Matlab and R is to S what Octave is to Matlab.

 .

 This package provides the core GNU R system from which only the optional

 documentation packages r-base-html, r-base-latex, r-doc-html, r-doc-pdf 

 and r-doc-info have been split off to somewhat reduce the size of this 

 package. 

Package: r-gnome

Section: gnome

Architecture: any

Depends: r-base-core (= ${Source-Version}), ${shlibs:Depends}

Recommends: r-cran-gtkdevice

Description: GNU R Gnome gui for statistical computing system

 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, ...).

 .

 R is designed as a true computer language with control-flow

 constructions for iteration and alternation, and it allows users to

 add additional functionality by defining new functions. For

 computationally intensive tasks, C, C++ and Fortran code can be

 linked and called at run time.

 .

 This package provides the dynamic link libraries needed to start GNU R

 with the GNOME libraries frontend as in "R --gui=GNOME"

Package: r-base-dev

Architecture: all

Section: devel

Depends: r-base-core (= ${Source-Version}), blas-dev (>= 1.0-9), build-essential, g77 | f2c, gcc, g++, libncurses5-dev, libreadline4-dev, lapack-dev

Description: GNU R installation of auxiliary GNU R packages 

 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, ...).

 .

 R is designed as a true computer language with control-flow

 constructions for iteration and alternation, and it allows users to

 add additional functionality by defining new functions. For

 computationally intensive tasks, C, C++ and Fortran code can be

 linked and called at run time.

 .

 This packages ensures that other Debian packages needed for installation of

 some auxiliary R packages are installed.

Package: r-mathlib

Architecture: any

Depends: r-base-core, r-base-dev

Description: GNU R standalone mathematics library

 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, ...).

 .

 R is designed as a true computer language with control-flow

 constructions for iteration and alternation, and it allows users to

 add additional functionality by defining new functions. For

 computationally intensive tasks, C, C++ and Fortran code can be

 linked and called at run time.

 .

 This packages provides the libRmath shared and static libraries which can

 be called from standalone C or C++ code.

Package: r-base-html

Architecture: all

Priority: extra

Depends: r-base-core

Replaces: r-base (<= 1.4.1-1)

Suggests: r-doc-html, mozilla | www-browser

Description: GNU R html docs for statistical computing system functions

 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, ...).

 .

 R is designed as a true computer language with control-flow

 constructions for iteration and alternation, and it allows users to

 add additional functionality by defining new functions. For

 computationally intensive tasks, C, C++ and Fortran code can be

 linked and called at run time.

 .

 This packages 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-base-latex

Architecture: all

Priority: extra

Depends: r-base-core

Replaces: r-base (<= 1.4.1-1)

Description: GNU R LaTeX docs for statistical computing system functions

 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, ...).

 .

 R is designed as a true computer language with control-flow

 constructions for iteration and alternation, and it allows users to

 add additional functionality by defining new functions. For

 computationally intensive tasks, C, C++ and Fortran code can be

 linked and called at run time.

 .

 This packages provides latex documentation suitable for off-line printing

 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

Suggests: r-base-core, xpdf-reader | pdf-viewer

Description: GNU R pdf manuals for statistical computing system

 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, ...).

 .

 R is designed as a true computer language with control-flow

 constructions for iteration and alternation, and it allows users to

 add additional functionality by defining new functions. For

 computationally intensive tasks, C, C++ and Fortran code can be

 linked and called at run time.

 .

 This packages 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

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 `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, ...).

 .

 R is designed as a true computer language with control-flow

 constructions for iteration and alternation, and it allows users to

 add additional functionality by defining new functions. For

 computationally intensive tasks, C, C++ and Fortran code can be

 linked and called at run time.

 .

 This packages 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

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 `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, ...).

 .

 R is designed as a true computer language with control-flow

 constructions for iteration and alternation, and it allows users to

 add additional functionality by defining new functions. For

 computationally intensive tasks, C, C++ and Fortran code can be

 linked and called at run time.

 .

 This packages 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: any

Depends: r-base-core (= ${Source-Version}), ${shlibs:Depends}

Description: GNU R collection of recommended packages 

 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 contains the R 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. The package comprises 

 the following packages:

  - 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-PLUS' (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, ...

  - grid: The grid graphics package (required by lattice)

  - 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.