sp_getXi

sp_getXj

sp_getXij

sp_getXtf

sp_getXM

sp_setXij1

sp_setXtf1

sp_setXM1

sp_moralize

sp_topoSort

sp_fromto

st_fromto

ripMAT2

triangulate_stR

triangulateMAT_stC

triangulateMAT_spR

moralizeMAT_stR

moralizeMAT_spC

moralMAT

mcsMAT_stR

mcsMAT_stC

mcsMAT_spR

lapplyV2I

lapplyI2V

lapplyMatch

mcsMATR

topoSort

triang2R

vparlist2tf

coerceGraph

coerceGraph.graphNEL

coerceGraph.igraph

coerceGraph.matrix

isGSD_glist

properties_glist

isAcyclicMAT

isUndirectedMAT

aperm2

cell2entry

entry2cell

factGrid

getCellNumberC

slice2entry

nextCell

nextCellSlice

permuteCellEntries

mcwhSH

makeDimNames

ripOrderGreen

triangPG

triangR

triangRMAT

igraph-class

names2pairs

rowmat2list

colmat2list

matrix2list

ellK

list2rhsFormula

rhsFormula2list

list2rhsf

rhsf2list

which.arr.ind

pairs2num

showg

readg

showf

readf

varset

in.list

is.cont

contains

is.graphical

dual.rep

fit.ggm

outfun

addEdge

dropEdge

addEdge.gModel

dropEdge.gModel

all.subsets

extract.power

selectOrder

processFormula

partial.corr.matrix

update.gModel

gRfit-class

stepwise

stepwise.default

Internal functions called by other functions.

internal

gRbase-internal

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: * maximum cardinality search (for marked and unmarked
        graphs).  * moralize * triangulate * 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.

gRbase-internal: Internal gRbase functions

Description

Arguments