r-base 3.4.2-1ubuntu2 source package in Ubuntu
Changelog
r-base (3.4.2-1ubuntu2) bionic; urgency=medium * No-change rebuild for libicu soname change. -- Matthias Klose <email address hidden> Wed, 25 Oct 2017 15:28:07 +0000
Upload details
- Uploaded by:
- Matthias Klose
- Uploaded to:
- Bionic
- Original maintainer:
- Dirk Eddelbuettel
- Architectures:
- any all
- Section:
- math
- Urgency:
- Medium Urgency
See full publishing history Publishing
Series | Published | Component | Section |
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Downloads
File | Size | SHA-256 Checksum |
---|---|---|
r-base_3.4.2.orig.tar.gz | 28.9 MiB | 971e30c2436cf645f58552905105d75788bd9733bddbcb7c4fbff4c1a6d80c64 |
r-base_3.4.2-1ubuntu2.debian.tar.xz | 85.7 KiB | 87c48279647a17fb97c918c742ded81061bc761720ab434d6856eda8ac7374d4 |
r-base_3.4.2-1ubuntu2.dsc | 2.8 KiB | 0a5dbb97f9a8af9c2f905ee75abc28b4f1787995b72ef5086bdd2688b06c4fe5 |
Available diffs
- diff from 3.4.2-1ubuntu1 to 3.4.2-1ubuntu2 (332 bytes)
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, several 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, 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: 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, several 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, 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: 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, 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 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, 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.