View source: R/learning-algorithms.R
local discovery algorithms | R Documentation |
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 |
debug |
a boolean value. If |
An object of class bn
. See bn-class
for details.
Marco Scutari
constraint-based algorithms, score-based algorithms, hybrid algorithms.
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