GraphicalModels : Table of Contents
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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
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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
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localMarkov -- local Markov statements for a graph or a directed graph
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lVariableName -- optional input to choose the variable name for the regression matrix
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marginMap -- generates a linear map on joint distributions for discrete random variables replacing marginals for indeterminates
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markovMatrices -- the matrices whose minors form the ideal of a list of independence statements
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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
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pVariableName -- optional input to choose the variable name for the error covariance matrix
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SimpleTreks -- optional input for gaussianParametrization
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sVariableName -- optional input to choose the variable for the covariance matrix
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trekIdeal -- the trek separation ideal of a mixed graph
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VariableName -- optional input to choose indeterminate name in markovRing