Learn Chain graphs via Decomposition


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Documentation for package ‘lcd’ version 0.7-2

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lcd-package Structural learning of chain graphs via the decomposition approach
alarm.net Graph structure of ALARM network
all.equal-method All.equal method for sep.pair class
all.equal-methods All.equal method for sep.pair class
as.freq.tb Frequency table transformation
comp.pat Pattern comparison
comp.skel Skeleton comparison
compress.freq.tb Frequency table compression
draw Draw graph
freq.tb-class Class "freq.tb"
get.multinom.dist Random multinomial distribution generation from a chain graph
get.normal.dist Random normal distribution generation from a chain graph
is.chaingraph Chain graph verification
is.separated c-separation on the chain graph
lcd Structural learning of chain graphs via the decomposition approach
learn.complex.multinom Graph learning functions
learn.complex.norm Graph learning functions
learn.mec.multinom Graph learning functions
learn.mec.norm Graph learning functions
learn.skeleton.multinom Graph learning functions
learn.skeleton.norm Graph learning functions
learn.v Graph learning functions
maxcard.search Maximum cardinality search
moralize Chain graph moralization
multinom.ci.test Conditional independence test for multinomial data
naive.getug.multinom A naive function to get an undirected graph for multinomial data
naive.getug.norm A naive function to get an undirected graph for normal data
norm.ci.test Conditional independence test for multivariate normal data
pattern Chain graph pattern computation
rmultinom.cg Random multinomial sample from a chain graph
rnorm.cg Random normal sample from a chain graph
sep.pair-class Class "sep.pair"
sep.tree-class Class "sep.tree"
show-method Show method for sep.pair class
show-methods Show method for sep.pair class
skeleton Graph skeleton
toy.graph Graph structure of a toy example
tri.ug Triangulation of an undirected graph
ug.to.jtree Junction tree construction for undirected graph