strat.boot: Stratified Bootstrap Resampling

In egenn/rtemis: Machine Learning and Visualization

Stratified Bootstrap Resampling

Description

Stratified Bootstrap Resampling

Usage

strat.boot(
  x,
  n.resamples = 10,
  train.p = 0.75,
  stratify.var = NULL,
  strat.n.bins = 4,
  target.length = NULL,
  seed = NULL,
  verbosity = TRUE
)

Arguments

x	Input vector
n.resamples	Integer: Number of training/testing sets required
train.p	Float (0, 1): Fraction of cases to assign to traininig set for resampler = "strat.sub"
stratify.var	Numeric vector (optional): Variable used for stratification.
strat.n.bins	Integer: Number of groups to use for stratification for resampler = "strat.sub" / "strat.boot"
target.length	Integer: Number of cases for training set for resampler = "strat.boot".
seed	Integer: (Optional) Set seed for random number generator, in order to make output reproducible. See ?base::set.seed
verbosity	Logical: If TRUE, print messages to console

Author(s)

E.D. Gennatas

egenn/rtemis documentation built on Nov. 22, 2024, 4:12 a.m.