inferMS | R Documentation |
multiscale bootstrap-based inference of Bayesian network
inferMS(data, algo, algorithm.args, R, cl = NULL, r = seq(0.5, 1.5, 0.1))
data |
data.frame to perform inference |
algo |
structure learning method used in boot.strength() |
algorithm.args |
parameters to pass to bnlearn structure learnng function |
R |
the number of bootstrap |
cl |
cluster object from parallel::makeCluster() |
r |
vector for size of each bootstrap replicate |
object of class bn.strength
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