bnlearn - man/mi.matrix.html

local discovery algorithms {bnlearn}

R Documentation

Local discovery structure learning algorithms

Description

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

Usage

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

Arguments

x

a data frame containing the variables in the model.

whitelist

a data frame with two columns (optionally labelled "from" and "to"), containing a set of arcs to be included in the graph.

blacklist

a data frame with two columns (optionally labelled "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 (that is, 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.

Value

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

Author(s)

Marco Scutari