prob.distr.norm

Generate 2^n numbers from distribution with most of the pdf mass in extreme probabilities (mirrored normal). 
We use standard deviation of 1/3 and modulo-1 of normal distribution.

Distinguish direct from indirect interactions in gene
regulation and infer combinatorial code from highly correlated
variables such as transcription factor binding profiles. The
package implements the Neighbourhood Consistent PC algorithm
(NCPC) and draws Direct Dependence Graphs to represent
dependence structure around a target variable. The package also
provides a unified interface to other Graphical Modelling
(Bayesian Network) packages for distinguishing direct and
indirect interactions.

prob.distr.norm: Normal distribution function for `random.bn.fit`

Description

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Examples