boot_train: Recursively create training set indices ensuring class...

In AlineTalhouk/splendid: SuPervised Learning ENsemble for Diagnostic IDentification

Recursively create training set indices ensuring class representation in every bootstrap resample

Description

Recursively create training set indices ensuring class representation in every bootstrap resample

Usage

boot_train(data, class, n, stratify = FALSE)

Arguments

data	data frame with rows as samples, columns as features
class	true/reference class vector used for supervised learning
n	number of bootstrap replicates to generate
stratify	logical; if TRUE, the bootstrap resampling is performed within each strata of class to ensure the bootstrap sample contains the same proportions of each strata as the original data.

AlineTalhouk/splendid documentation built on Feb. 23, 2024, 9:37 p.m.