Bayesian Networks With Examples in R by Marco Scutari

Author:Marco Scutari
Language: eng
Format: epub
Publisher: CRC Press
Published: 2021-05-17T00:00:00+00:00

mutual information (shrinkage)

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”mi-g-sh”

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As for CGBNs, the only conditional independence test available in bnlearn is the mutual information test, labelled "mi-cg".

Constraint-based structure learning algorithms are implemented in bnlearn in the gs, iamb, fast.iamb, inter.iamb, mmpc, si.hiton.pc and hpc functions. All these functions accept the following arguments:

x, the data the network will be learned from.

whitelist and blacklist, to force the inclusion or the exclusion of specific arcs from the network (examples in Sections 4.4 and 2.5.1).

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