selectBestPopulation: Select the top significant best part of the population

In predomics/predomicspkg: Interpretable Prediction in Omics Data

Select the top significant best part of the population

Description

This function allows to select the best part of a population that is significantly not different from the best model

Usage

selectBestPopulation(pop, score = "fit_", p = 0.05, k_penalty = 0, k_max = 0)

Arguments

pop:	a list of model objects
score:	the attribute of the model to be used for the evaluation
p:	the p-value threshold
k_penalty:	the penalty to apply to the score based on the k_sparsity (default:0)
k_max:	select the best population below a given threshold. If (default:0) no selection is performed.

Value

a sub part of the population

predomics/predomicspkg documentation built on Dec. 11, 2024, 11:06 a.m.