Source: r-base Section: math Priority: optional Maintainer: Dirk Eddelbuettel Standards-Version: 3.5.0 Build-Depends: blas-dev (>= 1.0-9), libgnome-dev, libzvt-dev, libgtkxmhtml-dev, tcl8.3-dev, tk8.3-dev, libglade-gnome0-dev, bison, g77 [!m68k !ia64], g77-3.0 [ia64], f2c [m68k], gcc-3.0 [ia64], g++-3.0 [ia64], groff-base, libncurses5-dev, libreadline4-dev, tetex-bin, tetex-extra, debhelper (>= 3.0.0), texi2html, texinfo (>= 4.1-2) 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 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 Architecture: any Depends: r-base-core (= ${Source-Version}), ${shlibs:Depends} 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 Depends: r-base-core, blas-dev (>= 1.0-9), build-essential, g77 | g77-3.0 | f2c | fortran77-compiler , gcc | gcc-3.0 | c-compiler, g++ | g++-3.0 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) 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 | acroread | 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 | konqueror | links | lynx | 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.