bnlearn: mi.matrix – R documentation

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mi.matrix

Local discovery structure learning algorithms

ARACNE and Chow-Liu learn simple graphs structures from data using pairwise mutual information coefficients.

aracne(x, whitelist = NULL, blacklist = NULL, mi = NULL, debug = FALSE)
chow.liu(x, whitelist = NULL, blacklist = NULL, mi = NULL, debug = FALSE)

`x`	a data frame containing the variables in the model.
`whitelist`	a data frame with two columns (optionally labeled "from" and "to"), containing a set of arcs to be included in the graph.
`blacklist`	a data frame with two columns (optionally labeled "from" and "to"), containing a set of arcs not to be included in the graph.
`mi`	a character string, the estimator used for the pairwise (i.e. unconditional) mutual information coefficients in the ARACNE and Chow-Liu algorithms. Possible values are `mi` (discrete mutual information) and `mi-g` (Gaussian mutual information).
`debug`	a boolean value. If `TRUE` a lot of debugging output is printed; otherwise the function is completely silent.

An object of class bn. See bn-class for details.

Marco Scutari