formulaFalseNeg

a matrix or data.frame containing binary observations (columns are variables)

data

var1

var2

false.neg

logical.formula

Generate class labels by using the readout mechanism. Logical formula is applied to two variables
which are read out from the real data using the var1 and var2 probabilities. This only works
with binary variables.

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.

formulaFalseNeg: Generate class labels by a noisy formula with high false negative rate

Description

Usage

Arguments

Value

Examples