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.

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

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Files in this package

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

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

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