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Section: doc
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Description: 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-'.
.
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.
Package: r-cran-matrix
Priority: optional
Section: gnu-r
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Description: GNU R package of classes for dense and sparse matrices
This CRAN package provides S4 classes and methods for numerical
linear algebra using dense or sparse matrices. The sparse matrix
implementation uses code from the LDL sparse matrix package and
code from the Metis package of partitioning algorithms.
Package: r-doc-pdf
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Description: 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-'.
.
This package provides the R manuals in pdf format. The sibling packages
r-doc-html and r-doc-info provides the same manuals.
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Section: gnu-r
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Description: GNU R package for spatial statistics
The spatial package provides functions and datasets to support
chapter 15 on 'Spatial Statistic' in the book 'Modern Applied
Statistics with S' (4th edition) by W.N. Venables and
B.D. Ripley. The following URL provides more details about the book:
URL: http://www.stats.ox.ac.uk/pub/MASS4
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Description: 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-'.
.
This package contains debugging symbol tables for the binaries and dynamic
libraries in the r-base-core package.
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Description: GNU R package for survival analysis
This package provides functions and datasets for survival analysis:
descriptive statistics, two-sample tests, parametric accelerated failure
models, Cox model. Delayed entry (truncation) is allowed for all models;
interval censoring for parametric models.
.
This package is part of the set of packages that are 'recommended'
by R Core and shipped with upstream source releases of R itself.
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Description: GNU R package of Venables and Ripley's MASS
The MASS package provides functions and datasets to support the book
'Modern Applied Statistics with S' (4th edition) by W.N. Venables and
B.D. Ripley. The following URL provides more details about the book:
URL: http://www.stats.ox.ac.uk/pub/MASS4
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Description: GNU R package for ODBC database access
This CRAN package provides access to any Open DataBase Connectivity (ODBC)
accessible database.
.
The package should be platform independent and provide access to any
database for which a driver exists. It has been tested with MySQL
and PostgreSQL on both Linux and Windows (and to those DBMSs on Linux
hosts from R under Windows), Microsoft Access, SQL Server and Excel
spreadsheets (read-only), and users have reported success with
connections to Oracle and DBase.
.
Usage is covered in the R Data Import/Export manual (available via the
r-doc-pdf, r-doc-html and r-doc-info packages).
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Description: GNU R package for (non-)linear mixed effects models
This package provides functions to fit and compare linear and non-linear
mixed-effects models.
.
This package is part of the set of packages that are 'recommended'
by R Core and shipped with upstream source releases of R itself.
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Description: 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 thousand extension "packages" are available from
CRAN, the Comprehensive R Archive Network, many also as Debian packages,
named 'r-cran-'.
.
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.
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Recommends: r-recommended, r-base-dev, r-doc-html
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Description: 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 thousand extension "packages" are available from
CRAN, the Comprehensive R Archive Network, many also as Debian packages,
named 'r-cran-'.
.
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.
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Description: GNU R package for recursive partitioning and regression trees
This package provides functions to recursive partioning and regression trees.
.
This package is part of the set of packages that are 'recommended'
by R Core and shipped with upstream source releases of R itself.
.
URL (of the S-Plus original): http://www.mayo.edu/hsr/Sfunc.html
Package: r-recommended
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Description: 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-'.
.
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.
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Description: GNU R package for feed-forward neural networks
Software for feed-forward neural networks with a single
hidden layer, and for multinomial log-linear models
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Priority: optional
Section: gnu-r
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Description: 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-'.
.
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.
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Section: gnu-r
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Description: GNU R package providing code analysis tools
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.
This package is part of the set of packages that are 'recommended'
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Description: GNU R package for 'Trellis' graphics
This package provides functions for 'Trellis' graphics -- a framework
for data visualization developed at the Bell Labs by Rick Becker, Bill
Cleveland et al, extending ideas presented in Bill Cleveland's 1993 book
'Visualizing Data'.
.
This package is part of the set of packages that are 'recommended'
by R Core and shipped with upstream source releases of R itself.
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Description: GNU R package for cluster analysis by Rousseeuw et al
This package provides functions and datasets for cluster analysis originally
written by Peter Rousseeuw, Anja Struyf and Mia Hubert.
.
This package is part of the set of packages that are 'recommended'
by R Core and shipped with upstream source releases of R itself.
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Description: GNU R package to read/write data from other stat. systems
This package provides functions for reading and writing data stored by
statistical packages such as Minitab, S, SAS, SPSS, Stata, ...
.
This package is part of the set of packages that are 'recommended'
by R Core and shipped with upstream source releases of R itself.
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Description: 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-'.
.
This package provides the libRmath shared and static libraries which can
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Description: GNU R package for 'Trellis' graphics
This package provides functions for 'Trellis' graphics -- a framework
for data visualization developed at the Bell Labs by Rick Becker, Bill
Cleveland et al, extending ideas presented in Bill Cleveland's 1993 book
'Visualizing Data'.
.
This package is part of the set of packages that are 'recommended'
by R Core and shipped with upstream source releases of R itself.
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Description: GNU R package for feed-forward neural networks
Software for feed-forward neural networks with a single
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Description: GNU R package for (non-)linear mixed effects models
This package provides functions to fit and compare linear and non-linear
mixed-effects models.
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This package is part of the set of packages that are 'recommended'
by R Core and shipped with upstream source releases of R itself.
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Description: GNU R package for recursive partitioning and regression trees
This package provides functions to recursive partioning and regression trees.
.
This package is part of the set of packages that are 'recommended'
by R Core and shipped with upstream source releases of R itself.
.
URL (of the S-Plus original): http://www.mayo.edu/hsr/Sfunc.html
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Description: 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-'.
.
This package provides the libRmath shared and static libraries which can
be called from standalone C or C++ code.
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Description: GNU R package for multiple parameter smoothing estimation
This package provides functions for generalised additive models (GAMs)
and other generalized ridge regression problems with multiple smoothing
parameter selection by GCV or UBRE. It includes an implementation (not
a clone) of gam().
.
This package is part of the set of packages that are 'recommended'
by R Core and shipped with upstream source releases of R itself.
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Description: GNU R package for spatial statistics
The spatial package provides functions and datasets to support
chapter 15 on 'Spatial Statistic' in the book 'Modern Applied
Statistics with S' (4th edition) by W.N. Venables and
B.D. Ripley. The following URL provides more details about the book:
URL: http://www.stats.ox.ac.uk/pub/MASS4
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Description: 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-'.
.
This package provides the R manuals in html format. The sibling packages
r-doc-pdf and r-doc-info provides the same manuals.
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Description: GNU R package for classification
The class package provides functions and datasets to support chapter
12 on 'Classification' in the book 'Modern Applied Statistics with S'
(4th edition) by W.N. Venables and B.D. Ripley. The following URL
provides more details about the book:
URL: http://www.stats.ox.ac.uk/pub/MASS4
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Description: 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-'.
.
This package ensures that other Debian packages needed for installation of
some auxiliary R packages are installed.
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Description: GNU R package for ODBC database access
This CRAN package provides access to any Open DataBase Connectivity (ODBC)
accessible database.
.
The package should be platform independent and provide access to any
database for which a driver exists. It has been tested with MySQL
and PostgreSQL on both Linux and Windows (and to those DBMSs on Linux
hosts from R under Windows), Microsoft Access, SQL Server and Excel
spreadsheets (read-only), and users have reported success with
connections to Oracle and DBase.
.
Usage is covered in the R Data Import/Export manual (available via the
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Description: GNU R package for cluster analysis by Rousseeuw et al
This package provides functions and datasets for cluster analysis originally
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.
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Description: 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-'.
.
This package provides the R manuals in info format. The sibling packages
r-doc-html and r-doc-pdf provide the same manuals.
Package: r-cran-survival
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Section: gnu-r
Installed-Size: 3036
Maintainer: Dirk Eddelbuettel
Architecture: i386
Source: survival
Version: 2.35-8-1~etchcran.2.11.0
Replaces: r-recommended (<< 1.9.0)
Depends: libc6 (>= 2.3.6-6), r-base-core (>= 2.10.0)
Filename: etch-cran/r-cran-survival_2.35-8-1~etchcran.2.11.0_i386.deb
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SHA1: 1e0a1ebfcbb55464130923a254169c7957c2cbca
SHA256: 4c5adf214c626feb80f6ae0b3b28b48d0f1bdb8d110f83672ff8432cc2d42a54
Description: GNU R package for survival analysis
This package provides functions and datasets for survival analysis:
descriptive statistics, two-sample tests, parametric accelerated failure
models, Cox model. Delayed entry (truncation) is allowed for all models;
interval censoring for parametric models.
.
This package is part of the set of packages that are 'recommended'
by R Core and shipped with upstream source releases of R itself.
Package: r-cran-kernsmooth
Priority: optional
Section: gnu-r
Installed-Size: 236
Maintainer: Dirk Eddelbuettel
Architecture: amd64
Source: kernsmooth
Version: 2.23-3-2~etchcran.2.11.0
Replaces: r-recommended (<< 1.9.0)
Depends: libc6 (>= 2.3.5-1), libgfortran1 (>= 4.1.1-12), r-base-core (>= 2.10.0), r-cran-mass
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MD5sum: 75f900a3d09bc0c7f8edfdcda1ad93d5
SHA1: 6fb5028a98aac4f084b3df0458cf8ce0299db781
SHA256: 39cad909d18057fdbb08905eb1c9e9f6a2f5e99f1f25228dc45cec3e0b1a93a6
Description: GNU R package for kernel smoothing and density estimation
This package provides functions for kernel smoothing and density estimation
corresponding to M.P. Wand and M.C. Jones, "Kernel Smoothing", 1995.
.
This package is part of the set of packages that are 'recommended'
by R Core and shipped with upstream source releases of R itself.
.
URL: http://www.maths.unsw.edu.au/~wand
Package: r-cran-matrix
Priority: optional
Section: gnu-r
Installed-Size: 5892
Maintainer: Dirk Eddelbuettel
Architecture: amd64
Source: rmatrix
Version: 0.999375-38-1~etchcran.2.11.0
Depends: libc6 (>= 2.3.5-1), libgcc1 (>= 1:4.1.1-12), libgfortran1 (>= 4.1.1-12), libstdc++6 (>= 4.1.1-12), r-base-core (>= 2.10.1), r-cran-lattice (>= 0.12-11.1)
Filename: etch-cran/r-cran-matrix_0.999375-38-1~etchcran.2.11.0_amd64.deb
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MD5sum: 7e020fbf1efac9e7c2f992e23a74e3ed
SHA1: 46c23632b0d79c4770c4470019c58b4aed37c4dd
SHA256: e1466ca4c3913f9557d747542319b3b1a328e4861d0291431df3b62fcba21be1
Description: GNU R package of classes for dense and sparse matrices
This CRAN package provides S4 classes and methods for numerical
linear algebra using dense or sparse matrices. The sparse matrix
implementation uses code from the LDL sparse matrix package and
code from the Metis package of partitioning algorithms.
Package: r-cran-foreign
Priority: optional
Section: gnu-r
Installed-Size: 492
Maintainer: Dirk Eddelbuettel
Architecture: amd64
Source: foreign
Version: 0.8.40-1~etchcran.2.11.0
Replaces: r-recommended (<< 1.9.0)
Depends: libc6 (>= 2.3.5-1), r-base-core (>= 2.10.1)
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Size: 160838
MD5sum: ece105d40da565bd8d119b58d40873e5
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SHA256: 9a1f5ac98013a5d8fc013f343e8b9414e2eb9a86146ac11d8200984262c1ad01
Description: GNU R package to read/write data from other stat. systems
This package provides functions for reading and writing data stored by
statistical packages such as Minitab, S, SAS, SPSS, Stata, ...
.
This package is part of the set of packages that are 'recommended'
by R Core and shipped with upstream source releases of R itself.
Package: r-cran-mgcv
Priority: optional
Section: gnu-r
Installed-Size: 924
Maintainer: Dirk Eddelbuettel
Architecture: i386
Source: mgcv
Version: 1.6-2-1~etchcran.2.11.0
Replaces: r-recommended (<< 1.9.0)
Depends: atlas3-base | refblas3 | libblas.so.3, libc6 (>= 2.3.6-6), libgfortran1 (>= 4.1.1-12), r-base-core (>= 2.11.0), r-cran-nlme, r-cran-matrix
Filename: etch-cran/r-cran-mgcv_1.6-2-1~etchcran.2.11.0_i386.deb
Size: 697438
MD5sum: fe1fa35fa9bbf1d1711c859688bf0f7f
SHA1: 3517cda503b3c8e3284da0ea9ec460a72c376f28
SHA256: 21e49fe3dc3c107aa210e54887c3fd9bb85b118999844ea7e1afa20278fc8441
Description: GNU R package for multiple parameter smoothing estimation
This package provides functions for generalised additive models (GAMs)
and other generalized ridge regression problems with multiple smoothing
parameter selection by GCV or UBRE. It includes an implementation (not
a clone) of gam().
.
This package is part of the set of packages that are 'recommended'
by R Core and shipped with upstream source releases of R itself.
Package: r-cran-kernsmooth
Priority: optional
Section: gnu-r
Installed-Size: 232
Maintainer: Dirk Eddelbuettel
Architecture: i386
Source: kernsmooth
Version: 2.23-3-2~etchcran.2.11.0
Replaces: r-recommended (<< 1.9.0)
Depends: atlas3-base | refblas3 | libblas.so.3, libc6 (>= 2.3.6-6), libgfortran1 (>= 4.1.1-12), r-base-core (>= 2.10.0), r-cran-mass
Filename: etch-cran/r-cran-kernsmooth_2.23-3-2~etchcran.2.11.0_i386.deb
Size: 59242
MD5sum: 8bba585e81099e837837722fc909b34e
SHA1: 06f1e1af78ce660ccbca0a291302d53f8e989e9b
SHA256: 695a30c04bc53891c7268633a7b2fa381538cbb7647c4dae280817f0741e8ca5
Description: GNU R package for kernel smoothing and density estimation
This package provides functions for kernel smoothing and density estimation
corresponding to M.P. Wand and M.C. Jones, "Kernel Smoothing", 1995.
.
This package is part of the set of packages that are 'recommended'
by R Core and shipped with upstream source releases of R itself.
.
URL: http://www.maths.unsw.edu.au/~wand
Package: r-cran-mass
Priority: optional
Section: gnu-r
Installed-Size: 1176
Maintainer: Dirk Eddelbuettel
Architecture: i386
Version: 7.3-5-1~etchcran.2.11.0
Replaces: r-cran-vr (<< 7.3-0)
Depends: libc6 (>= 2.3.6-6), r-base-core (>= 2.10.1)
Filename: etch-cran/r-cran-mass_7.3-5-1~etchcran.2.11.0_i386.deb
Size: 810286
MD5sum: 7d8885ce74f431bd06bbf5eaf100de02
SHA1: 3d34cd94a3f76552f10fb74ffdf3aabca8cbe094
SHA256: 95edb3589140de5e8d38459fef51d2abc233c42aaaf2b41bf7f09e651ff3b762
Description: GNU R package of Venables and Ripley's MASS
The MASS package provides functions and datasets to support the book
'Modern Applied Statistics with S' (4th edition) by W.N. Venables and
B.D. Ripley. The following URL provides more details about the book:
URL: http://www.stats.ox.ac.uk/pub/MASS4
Package: littler
Priority: optional
Section: gnu-r
Installed-Size: 184
Maintainer: Dirk Eddelbuettel
Architecture: i386
Version: 0.1.3-1~etchcran.2.11.0
Depends: atlas3-base | refblas3 | libblas.so.3, libc6 (>= 2.3.6-6), r-base-core (>= 2.10.1)
Suggests: r-cran-getopt
Filename: etch-cran/littler_0.1.3-1~etchcran.2.11.0_i386.deb
Size: 34010
MD5sum: dc9f838a2cf61bbd66e9ef760299ea0c
SHA1: 623c6dcee0129f2b10d0fed779a4e96bd61d078f
SHA256: 166d82267c9bf193b648251694a3c703ce071be1c509cc84f6a3fd97a0d9cfad
Description: GNU R scripting and command-line front-end
The 'r' (aka 'littler') program provides a leightweight binary wrapper around
the GNU R language and environment for statistical computing and graphics.
.
While R can be used in batch mode, the r binary adds full support for
both 'shebang'-style scripting (i.e. using a hashmark-exclamation-path
expression as the first line in scripts) as well as command-line use in
standard Unix pipelines. In other words, r provides the R language without
the environment.
Package: littler
Priority: optional
Section: gnu-r
Installed-Size: 196
Maintainer: Dirk Eddelbuettel
Architecture: amd64
Version: 0.1.3-1~etchcran.2.11.0
Depends: libc6 (>= 2.3.5-1), r-base-core (>= 2.10.1)
Suggests: r-cran-getopt
Filename: etch-cran/littler_0.1.3-1~etchcran.2.11.0_amd64.deb
Size: 35012
MD5sum: 00fb7d5e402680c664649bb28860eec5
SHA1: 27acf461d54d5e9abac58b230d14fd3e9a94e25a
SHA256: 59dc72efbe7f61acd2211a5c51a8600208c5ae470414ea8ecb74edafd3603177
Description: GNU R scripting and command-line front-end
The 'r' (aka 'littler') program provides a leightweight binary wrapper around
the GNU R language and environment for statistical computing and graphics.
.
While R can be used in batch mode, the r binary adds full support for
both 'shebang'-style scripting (i.e. using a hashmark-exclamation-path
expression as the first line in scripts) as well as command-line use in
standard Unix pipelines. In other words, r provides the R language without
the environment.
Package: r-cran-class
Priority: optional
Section: gnu-r
Installed-Size: 244
Maintainer: Dirk Eddelbuettel
Architecture: i386
Version: 7.3-2-1~etchcran.2.11.0
Replaces: r-cran-vr (<< 7.3-0)
Depends: libc6 (>= 2.3.6-6), r-base-core (>= 2.10.1)
Filename: etch-cran/r-cran-class_7.3-2-1~etchcran.2.11.0_i386.deb
Size: 65614
MD5sum: b03b01c302f7429fb68d9e1da779758c
SHA1: cd48dfa158d0fae1f3c6ec39240f5dfd6ff0600e
SHA256: 8bd12e73d9e4318e7e7b5395e833f16a6946727486495ad043fe1799831bebc4
Description: GNU R package for classification
The class package provides functions and datasets to support chapter
12 on 'Classification' in the book 'Modern Applied Statistics with S'
(4th edition) by W.N. Venables and B.D. Ripley. The following URL
provides more details about the book:
URL: http://www.stats.ox.ac.uk/pub/MASS4
Package: r-base-core-dbg
Priority: extra
Section: debug
Installed-Size: 11936
Maintainer: Dirk Eddelbuettel
Architecture: amd64
Source: r-base
Version: 2.11.0-1~etchcran.0
Depends: r-base-core (= 2.11.0-1~etchcran.0), r-base-dev (= 2.11.0-1~etchcran.0)
Filename: etch-cran/r-base-core-dbg_2.11.0-1~etchcran.0_amd64.deb
Size: 3564772
MD5sum: a9de598cec0fbd468d7b6d5e5343367f
SHA1: 8ae90f60b7a639b42e27cb59835ce57632e46b56
SHA256: 4429d6e953f7b45579bcf553a05679ed37cfb8d1a987744ad0e8d42c784b5364
Description: 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-'.
.
This package contains debugging symbol tables for the binaries and dynamic
libraries in the r-base-core package.
Package: r-cran-boot
Priority: optional
Section: gnu-r
Installed-Size: 672
Maintainer: Dirk Eddelbuettel
Architecture: all
Source: boot
Version: 1.2.42-1~etchcran.2.11.0
Replaces: r-recommended (<< 1.9.0)
Depends: r-base-core (>= 2.10.1)
Filename: etch-cran/r-cran-boot_1.2.42-1~etchcran.2.11.0_all.deb
Size: 446506
MD5sum: 7ec41f864f489902d5a8a1a81e5d8761
SHA1: dcdec19b9177a2d2f0f0b371b7f9a685fb451fe9
SHA256: 8bb14d43c14d7db3bbbf88681008b6592306cd8b008989d96cb1cbda7ad397d0
Description: GNU R package for bootstrapping functions from Davison and Hinkley
This package provides functions and datasets from the book "Bootstrap Methods
and Their Applications" by A. C. Davison and D. V. Hinkley (1997, CUP). It was
witten by Angelo Canty, and ported to R by Brian Ripley.
.
This package is part of the set of packages that are 'recommended'
by R Core and shipped with upstream source releases of R itself.
.
URL: http://statwww.epfl.ch/davison/BMA/library.html