Source: r-base Section: math Priority: optional Maintainer: Dirk Eddelbuettel Uploaders: Douglas Bates 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.