fitness: Fitness function with automatic pattern selection per...

In SIMPLICA: Biclustering via Simplivariate Component Analysis

Fitness function with automatic pattern selection per Simplivariate Component

Description

Fitness function with automatic pattern selection per Simplivariate Component

Usage

fitness(
  string,
  df,
  dfMean,
  penalty,
  patternFunctions = defaultPatternFunctions(),
  returnPatterns = FALSE,
  ...
)

Arguments

string	Vector with length nrow(df) + ncol(df): component labels for rows and columns (in this order).
df	Numeric matrix: full data.
dfMean	Scalar: global mean of df.
penalty	Named vector with penalty weights per pattern.
patternFunctions	Named list of functions returning pattern-based approximations.
returnPatterns	Logical: if TRUE, also returns chosen pattern per component.
...	Additional arguments passed to the GA functions

Value

Either total fitness (numeric), or list(fitness, componentPatterns) if returnPatterns = TRUE.

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