Usage
plotBNLearn(d, bnlearn.function.name="hc", alpha=0.05, test="mc-mi", make.plot=FALSE, blacklist, B, restart=0, scale=1.5, class.label="target", use.colors=TRUE, score="bic")
Arguments
d
an object of type DDDataSet
bnlearn.function.name
the bnlearn reconstruction algorithm to use (default: hc)
alpha
the alpha value of conditional independence tests (if applicable)
test
the type of conditional independence test (if applicable)
make.plot
if to make a plot or just return the network (default: FALSE)
blacklist
a data frame with two columns (optionally labeled "from" and "to"),
containing a set of arcs not to be included in the graph.
B
the number of bootstrap runs of permutations (for iamb and such algorithms)
restart
the number of random restarts for score-based algorithms
class.label
the label to use for the class variable
use.colors
if to color code the results
score
the scoring penalization metric to use (when applicable)