matrix2dgCMatrix

dgCMatrix2matrix

MAT2ftM_

MAT2MAT

as.amat

symMAT2ftM_

adjList2matrix

adjList2dgCMatrix

%&gt;%

isdagMAT_

issymMAT_

isugMAT_

aperm__

as.named.array

alignArrays

alignArrays2

allSubsets

allSubsets0

arrayMargin

arrayMargin0

arrayMarginChr_cpp

arrayOp

arrayOp2

arrayPerm

arrayPerm0

extendArrayAlong

extendArrays

getPerm

fitLoglin

propagateLS__

isadjMAT_

mcsMAT_

mcsMAT0_

topoSortMAT_

triangulateMAT_

triangulateEloMAT_

do_triangulate_elo

do_getcq_dense

do_getcq_sparse

do_mcs_dense

do_mcs_sparse

getCliquesDec_

rip_internal

sp_setXtf1

solveSPD

adjList2ftList

adjList2ftM

adjList2tfList

adjList2tfM

glist2setMAT

varNames.default

nLevels.default

valueLabels.default

print.parray

print.ripOrder

plot.ripOrder

maxClique

colSumsPrim

intersectPrim

matchPrim

outerPrim

setdiffPrim

uniquePrim

unlistPrim

rowSumsPrim

lapplyV2I

lapplyI2V

lapplyMatch

isGSD_glist

properties_glist

aperm2

cell2entry

entry2cell

factGrid

getCellNumberC

slice2entry

nextCell

nextCellSlice

permuteCellEntries

makeDimNames

names2pairs

names2pairsM

rowmat2list

colmat2list

matrix2list

list2rhsFormula

rhsFormula2list

list2rhsf

rhsf2list

which.arr.ind

which_matrix_index

pairs2num

showf

readf

dual.rep

fit.ggm

outfun

<p>Internal functions called by other functions.</p>

internal

gRbase-internal

The 'gRbase' package provides general features
which are used by other graphical modelling packages, in particular
by the packages 'gRain', 'gRim' and 'gRc'.
'gRbase' contains several data sets relevant for use in connection with
graphical models. Almost all data sets 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) junction tree.
'gRbase' facilitates array operations,
'gRbase' implements functions for testing for conditional independence.
'gRbase' illustrates how hierarchical log-linear models may be
implemented and describes concept of 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.
NOTICE Proper functionality of 'gRbase' requires that the packages graph,
'Rgraphviz' and 'RBGL' are installed from 'bioconductor'; for
installation instructions please refer to the web page given below.

gRbase-internal: Internal gRbase functions

Description

Arguments