gRapHD: Efficient selection of undirected graphical models for high-dimensional datasets

gRapHD is designed for efficient selection of high-dimensional undirected graphical models. The package provides tools for selecting trees, forests and decomposable models minimizing information criteria such as AIC or BIC, and for displaying the independence graphs of the models. It has also some useful tools for analysing graphical structures. It supports the use of discrete, continuous, or both types of variables.

Install the latest version of this package by entering the following in R:
install.packages("gRapHD")
AuthorGabriel Coelho Goncalves de Abreu <abreu_ga@yahoo.com.br>, Rodrigo Labouriau <Rodrigo.Labouriau@agrsci.dk>, David Edwards <David.Edwards@agrsci.dk>.
Date of publication2014-03-09 15:19:17
MaintainerGabriel Coelho Goncalves de Abreu <abreu_ga@yahoo.com.br>
LicenseGPL (>= 3)
Version0.2.4

View on CRAN

Functions

minForest Man page

Files

inst
inst/CITATION
inst/doc
inst/doc/index.html
src
src/modelDim.c
src/mcs.c
src/dfs.c
src/minForest.c
src/findEd.c
src/rowProds.c
src/shortPath.c
src/comfunc.c
src/comfunc.h
src/frucRein.c
src/cond.c
NAMESPACE
data
data/dsMixed.RData
data/dsDiscr.RData
data/dsCont.RData
R
R/functions.r R/gRapHD_class.r
MD5
DESCRIPTION
man
man/dsDiscr.rd
man/modelDim.rd
man/modelFormula.rd
man/ccoeff.rd
man/calcStat.rd
man/findEd.rd
man/convData.rd
man/fit.rd
man/stepb.rd
man/gRapHD-class.rd
man/rowProds.rd
man/randTree.rd
man/CI.test.rd
man/neighbourhood.rd
man/neighbours.rd
man/stepw.rd
man/SubGraph.rd
man/adjMat.rd
man/shortPath.rd
man/chStat.rd
man/sortMat.rd
man/gRapHD.rd
man/plot.gRapHD.rd
man/MCS.rd
man/perfSets.rd
man/dsCont.rd
man/minForest.Rd
man/jTree.rd
man/dsMixed.rd
man/DFS.rd
man/Degree.rd

Questions? Problems? Suggestions? or email at ian@mutexlabs.com.

Please suggest features or report bugs with the GitHub issue tracker.

All documentation is copyright its authors; we didn't write any of that.