|
|
Entwicklerinformationen
|
| r-base | GNU R statistical computing language and environment | Mehr ... |
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 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 packages gives a way to users to
then only install r-base-core (but not, say, r-base-latex) if they so desire. |
| r-base-core | GNU R core of statistical computing language and environment | Mehr ... |
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. |
| r-base-core-dbg | GNU R debug symbols for statistical comp. language and environment | Mehr ... |
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 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 | Mehr ... |
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. |
| r-base-html | GNU R html docs for statistical computing system functions | Mehr ... |
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. |
| r-base-latex | GNU R LaTeX docs for statistical computing system functions | Mehr ... |
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. |
| r-doc-html | GNU R html manuals for statistical computing system | Mehr ... |
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. |
| r-doc-info | GNU R info manuals statistical computing system | Mehr ... |
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. |
| r-doc-pdf | GNU R pdf manuals for statistical computing system | Mehr ... |
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. |
| r-mathlib | GNU R standalone mathematics library | Mehr ... |
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. |
| r-recommended | GNU R collection of recommended packages [metapackage] | Mehr ... |
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, ...).
.
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)
- VR: The 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).
- codetools: Code analysis tools for R
- cluster: Functions for clustering (by Rousseeuw et al.)
- 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. |
|
|
|
