makeNCPCRobustness

dataset

the list of raw resampling classification of variables (direct, joint, etc..)

the parameters used to generate the data (only the non-default one are listed)

params

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.

makeNCPCRobustness: Make a new NCPCRobustness object...

Description

Usage

Arguments

Value

Details