GraphicalModels : Table of Contents
GraphicalModels -- a package for discrete and Gaussian statistical graphical models
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gaussianMatrices -- matrices whose minors generate the Gaussian conditional independence ideal
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gaussianRing -- ring of Gaussian correlations on n random variables
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globalMarkov -- global Markov statements for a graph or a directed graph
hiddenMap -- linear map between the ring of a model with one hidden variable and the ring of the corresponding fully observed model
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kVariableName -- optional input to choose variable name for concentration matrix in gaussianRing
localMarkov -- local Markov statements for a graph or a directed graph
lVariableName -- optional input to choose the variable name for the regression matrix
marginMap -- generates a linear map on joint distributions for discrete random variables replacing marginals for indeterminates
markovMatrices -- the matrices whose minors form the ideal of a list of independence statements
markovRing -- ring of joint probability distributions on several discrete random variables
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pairMarkov -- pairwise Markov statements for a graph or a directed graph
pVariableName -- optional input to choose the variable name for the error covariance matrix
SimpleTreks -- optional input for gaussianParametrization
sVariableName -- optional input to choose the variable for the covariance matrix
trekIdeal -- the trek separation ideal of a mixed graph
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VariableName -- optional input to choose indeterminate name in markovRing