SCM

R Development Page

Contributed R Packages

Below is a list of all packages provided by project Graphical Models with R.

Important note for package binaries: R-Forge provides these binaries only for the most recent version of R, but not for older versions. In order to successfully install the packages provided on R-Forge, you have to switch to the most recent version of R or, alternatively, install from the package sources (.tar.gz).

Packages

gRain

Graphical Independence Networks

  A package for probability propagation in graphical independence networks, also known as probabilistic expert systems or Bayesian networks.
  Version: 1.1-0.3 | Last change: 2013-01-30 12:39:10+01 | Rev.: 31
  Download: linux(.tar.gz) | windows(.zip) | Build status: Current | Stable Release: Get gRain 1.4.1 from CRAN
  R install command: install.packages("gRain", repos="http://R-Forge.R-project.org")
 
Logs:  
Package build: Source package (Linux x86_64) Windows binary (x86_64/i386)
Package check: Linux x86_64 (patched) | Linux x86_64 (devel) Windows (patched) | Windows (devel)


gRbase

A package for graphical modelling in R

  The gRbase package provides certain general constructs which are used by other graphical modelling packages, in particular by the packages gRain, gRim and gRc. gRbase contains several datasets relevant for use in connection with graphical models. Almost all datasets used in the book Graphical Models with R (2012) are contained in gRbase. gRbase implements several graph algorithms (based mainly on representing graphs as adjacency matrices - either in the form of a standard matrix or a sparse matrix). Some graph algorithms are: (i) maximum cardinality search (for marked and unmarked graphs). (ii) moralize. (iii) triangulate. (iv) junctionTree. gRbase facilities for array operations, gRbase implements functions for testing for conditional independence. gRbase illustrates how hierarchical log-linear models (hllm) may be implemented and describes concept of gmData (graphical meta data). These features, however, are not maintained anymore and remains in gRbase only because there exists a paper describing these facilities: A Common Platform for Graphical Models in R: The gRbase Package, Journal of Statistical Software, Vol 14, No 17, 2005.
  Version: 1.6-7 | Last change: 2013-01-30 12:39:10+01 | Rev.: 31
  Download: linux(.tar.gz) | windows(.zip) | Build status: Current | Stable Release: Get gRbase 2.0.1 from CRAN
  R install command: install.packages("gRbase", repos="http://R-Forge.R-project.org")
 
Logs:  
Package build: Source package (Linux x86_64) Windows binary (x86_64/i386)
Package check: Linux x86_64 (patched) | Linux x86_64 (devel) Windows (patched) | Windows (devel)


gRc

Inference in Graphical Gaussian Models with Edge and Vertex Symmetries

  Estimation, model selection and other aspects of statistical inference in Graphical Gaussian models with edge and vertex symmetries (Graphical Gaussian models with colours)
  Version: 0.4-1 | Last change: 2012-11-24 23:18:54+01 | Rev.: 12
  Download: linux(.tar.gz) | windows(.zip) | Build status: Current | Stable Release: Get gRc 0.5.0 from CRAN
  R install command: install.packages("gRc", repos="http://R-Forge.R-project.org")
 
Logs:  
Package build: Source package (Linux x86_64) Windows binary (x86_64/i386)
Package check: Linux x86_64 (patched) | Linux x86_64 (devel) Windows (patched) | Windows (devel)


gRim

Graphical Interaction Models

  gRaphical Interaction Models: Models for for contingency tables (i.e. log-linear models) Graphical Gaussian models for multivariate normal data (i.e. covariance selection models) Mixed interaction models
  Version: 0.1-15.2 | Last change: 2013-01-30 12:39:10+01 | Rev.: 31
  Download: linux(.tar.gz) | windows(.zip) | Build status: Current | Stable Release: Get gRim 0.3.0 from CRAN
  R install command: install.packages("gRim", repos="http://R-Forge.R-project.org")
 
Logs:  
Package build: Source package (Linux x86_64) Windows binary (x86_64/i386)
Package check: Linux x86_64 (patched) | Linux x86_64 (devel) Windows (patched) | Windows (devel)

 

Build status codes

0 - Current: the package is available for download. The corresponding package passed checks on the Linux and Windows platform without ERRORs.
1 - Scheduled for build: the package has been recognized by the build system and provided in the staging area.
2 - Building: the package has been sent to the build machines. It will be built and checked using the latest patched version of R. Note that it is included in a batch of several packages. Thus, this process will take some time to finish.
3 - Failed to build: the package failed to build or did not pass the checks on the Linux and/or Windows platform. It is not made available since it does not meet the policies.
4 - Conflicts: two or more packages of the same name exist. None of them will be built. Maintainers are asked to negotiate further actions.
5 - Offline: the package is not available. The build system may be offline or the package maintainer did not trigger a rebuild (done e.g., via committing to the package repository).

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