r-base 3.0.2-1ubuntu1 source package in Ubuntu
Changelog
r-base (3.0.2-1ubuntu1) trusty; urgency=low * Resynchronise with Debian. Remaining changes: - Extend SHLIB_* definition hack in install.R to cover aarch64 as well. r-base (3.0.2-1) unstable; urgency=low * New upstream version released this morning * debian/arm-perl-regexp.patch: Re-apply ARM patch for regexp r-base (3.0.1.20130919-1) unstable; urgency=low * Initial rc build (r63954) of R 3.0.2 expected for September 25 * debian/arm-perl-regexp.patch: Re-apply ARM patch for regexp r-base (3.0.1.20130915-1) unstable; urgency=low * Initial build (r63932) of R 3.0.2 expected for September 25 * Version number scheme reverted to maj.min.pat.date rather than maj.min.pat~date as the latex runs of the manuals once again break when a tilde is present in the filename -- texi2dvi regression? * debian/arm-perl-regexp.patch: Re-apply ARM patch for regexp r-base (3.0.1-6) unstable; urgency=low * debian/r-cran.mk: Undo brown paper bag error and add pipe symbol * debian/rules: Do not run checks on kFreeBSD as it timed out r-base (3.0.1-5) unstable; urgency=low * debian/rules: Make a minor debian/rules clean more robust by using 'rm -f' instead of plain 'rm' r-base (3.0.1-4) unstable; urgency=low * debian/rules: Set optimisation to -O2 on kFreeBSD (Closes: #714506) * debian/r-cran.mk: Minor tweak to regexp in 'make clean' step * debian/watch: Adjusted path to look in R-3/ directory -- Colin Watson <email address hidden> Fri, 25 Oct 2013 11:17:32 +0100
Upload details
- Uploaded by:
- Colin Watson
- Uploaded to:
- Trusty
- Original maintainer:
- Ubuntu Developers
- Architectures:
- any all
- Section:
- math
- Urgency:
- Low Urgency
See full publishing history Publishing
Series | Published | Component | Section | |
---|---|---|---|---|
Trusty | release | universe | math |
Downloads
File | Size | SHA-256 Checksum |
---|---|---|
r-base_3.0.2.orig.tar.gz | 24.2 MiB | 956e05ad60447955049285420b5a48e0526aa4db676fd9eadb4bcfb7ccdc024b |
r-base_3.0.2-1ubuntu1.diff.gz | 82.4 KiB | 3681818d340637b5887ab09b99a0587aa4a628795b4e0c469dfdce23da708ea3 |
r-base_3.0.2-1ubuntu1.dsc | 2.8 KiB | 95843d1cb53932de22dcd94b81b7fbbf353cefb27df1fc460889b02173d62228 |
Available diffs
Binary packages built by this source
- r-base: No summary available for r-base in ubuntu utopic.
No description available for r-base in ubuntu utopic.
- 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, 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.
- 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, several 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: No summary available for r-base-dev in ubuntu utopic.
No description available for r-base-dev in ubuntu utopic.
- 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, 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.
- 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, 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.
- r-doc-info: No summary available for r-doc-info in ubuntu utopic.
No description available for r-doc-info in ubuntu utopic.
- 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, 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.
- 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, 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.
- 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, 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.