fitnessForOneComponent: Compute best pattern-based fitness for a single Simplivariate...
In SIMPLICA: Biclustering via Simplivariate Component Analysis

fitnessForOneComponent

R Documentation

Compute best pattern-based fitness for a single Simplivariate Component

Description

Compute best pattern-based fitness for a single Simplivariate Component

Usage

fitnessForOneComponent(mat, dfMean, patternFunctions, penalty)

Arguments

`mat`	A numeric matrix (the component)
`dfMean`	Overall mean of the full data matrix
`patternFunctions`	Named list of functions for structure types
`penalty`	Named numeric vector of penalties per pattern type

Value

Numeric fitness value (higher is better)

Examples

m <- matrix(rnorm(100, mean = 10), nrow = 10)
f <- fitnessForOneComponent(m, mean(m), defaultPatternFunctions(),
               c(constant = 0, additive = 1.0, multiplicative = 0))

SIMPLICA documentation built on Sept. 11, 2025, 1:08 a.m.