combinationsTest

indexes or names of variables selected for the test

selected.vars

the p value cutoff for reporting (default: 0.05)

cutoff

the multiple adjustment method (default: none)

p.adjust.method

if to print progress output and additional information

verbose

Calculate which combinations of values of variables are significantly different in the 
two classes (only for binary data). This function takes an DDDataSet and a number of variables
and finds those combinations of values of those variables that have significantly different
frequencies in the two class labels.

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.

combinationsTest: Significant combinations of variables

Description

Usage

Arguments

Value

Examples