priors: Accessor function for the 'priors' information in a...

In mRMRe: Parallelized Minimum Redundancy, Maximum Relevance (mRMR)

Accessor function for the 'priors' information in a mRMRe.Data object

Description

The priors matrix consists of a prior bias to be used in computation to mutual information between features.

Usage

## S4 method for signature 'mRMRe.Data'
priors(object)
## S4 replacement method for signature 'mRMRe.Data'
priors(object) <- value

Arguments

object	a mRMRe.Data object.
value	a numeric matrix containing values from 0 to 1 (or NA), one per pairwise feature bias.

Author(s)

Nicolas De Jay, Simon Papillon-Cavanagh, Benjamin Haibe-Kains

Examples

set.thread.count(2)
data(cgps)
feature_data <- mRMR.data(data = data.frame(cgps.ge))
priors(feature_data)

mRMRe documentation built on April 25, 2023, 9:13 a.m.