r-base 2.14.0-1 source package in Ubuntu
Changelog
r-base (2.14.0-1) unstable; urgency=low * New upstream release * R/m4, configure: Override bzip2 test for 1.0.6 to let our patched 1.0.5 version pass as lintian does not like the embedded library r-base (2.14.0~20111027-1) unstable; urgency=low * Initial rc build (r57443) of R 2.14.0 expected for Oct 31 * R/m4, configure: Override bzip2 test for 1.0.6 to let our patched 1.0.5 version pass as lintian does not like the embedded library * debian/control: Set Standards-Version: to current version r-base (2.14.0~20111021-1) unstable; urgency=low * Initial beta build (r57355) of R 2.14.0 expected for Oct 31 * R/m4, configure: Override bzip2 test for 1.0.6 to let our patched 1.0.5 version pass as lintian does not like the embedded library r-base (2.14.0~20111015-1) unstable; urgency=low * Initial alpha release (r57258) of R 2.14.0 expected for Oct 31 * debian/rules: Setting '-std=gnu99' as part of CC, not CFLAGS (with thanks to Kurt Hornik for the suggestion) * R/m4, configure: Override bzip2 test for 1.0.6 to let our patched 1.0.5 version pass as lintian does not like the embedded library -- Ubuntu Archive Auto-Sync <email address hidden> Fri, 11 Nov 2011 09:27:30 +0000
Upload details
- Uploaded by:
- Ubuntu Archive Auto-Sync
- Uploaded to:
- Precise
- Original maintainer:
- Dirk Eddelbuettel
- Architectures:
- any all
- Section:
- math
- Urgency:
- Low Urgency
See full publishing history Publishing
Series | Published | Component | Section |
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Downloads
File | Size | SHA-256 Checksum |
---|---|---|
r-base_2.14.0.orig.tar.gz | 21.6 MiB | 036204f56f8128e633a5d2fe56ebe0ba5a5e8501abe2056736d12a99bf69b910 |
r-base_2.14.0-1.diff.gz | 69.8 KiB | 5b065eb91d867401566e1130aa6d9dc4ea92f722818880d72397088b88b391ea |
r-base_2.14.0-1.dsc | 2.0 KiB | 6cf00482a46f1b93c79cb2b753e9d8e6e632ff931b62fdf7d0155cffa0dbc2ff |
Available diffs
- diff from 2.13.2-1build1 to 2.14.0-1 (2.4 MiB)
Binary packages built by this source
- r-base: 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, over 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.
- r-base-core: 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, over two 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.
- r-base-core-dbg: GNU R debug symbols for statistical comp. language and environment
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, over thousand extension "packages" are available from
CRAN, the Comprehensive R Archive Network, many also as Debian packages,
named 'r-cran-<name>'.
.
This package contains debugging symbol tables for the binaries and dynamic
libraries in the r-base-core package.
- r-base-dev: 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, over 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.
- r-base-html: 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, over 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.
- r-doc-html: 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, over 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.
- r-doc-info: 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, over 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.
- r-doc-pdf: 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, over 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.
- r-mathlib: 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, over 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.
- r-recommended: 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, over 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.