r-base 3.4.4-1ubuntu1 source package in Ubuntu
Changelog
r-base (3.4.4-1ubuntu1) bionic; urgency=medium * Drop the build dependency on openjdk-9-jdk. -- Matthias Klose <email address hidden> Sat, 21 Apr 2018 15:29:16 +0200
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 | |
---|---|---|---|---|
Bionic | release | universe | math |
Downloads
File | Size | SHA-256 Checksum |
---|---|---|
r-base_3.4.4.orig.tar.gz | 29.1 MiB | b3e97d2fab7256d1c655c4075934725ba1cd7cb9237240a11bb22ccdad960337 |
r-base_3.4.4-1ubuntu1.debian.tar.xz | 85.7 KiB | a3a86ae0fc56ed95f54d6d14f53e8a0381a7fafd8a5e13b1a20d3eb30b853370 |
r-base_3.4.4-1ubuntu1.dsc | 2.9 KiB | f191b8bf120e160398b7d7d472cd6f7ceb167fe967f1f94d4597fe53abc73a10 |
Available diffs
- diff from 3.4.4-1 (in Debian) to 3.4.4-1ubuntu1 (809 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: No summary available for r-base-core in ubuntu cosmic.
No description available for r-base-core in ubuntu cosmic.
- 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 cosmic.
No description available for r-base-dev in ubuntu cosmic.
- r-base-html: No summary available for r-base-html in ubuntu cosmic.
No description available for r-base-html in ubuntu cosmic.
- 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: No summary available for r-doc-pdf in ubuntu cosmic.
No description available for r-doc-pdf in ubuntu cosmic.
- r-mathlib: No summary available for r-mathlib in ubuntu cosmic.
No description available for r-mathlib in ubuntu cosmic.
- 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.