bootstrap_plsc: Bootstrap inference for PLSC loadings

In multivarious: Extensible Data Structures for Multivariate Analysis

Bootstrap inference for PLSC loadings

Description

Provides bootstrap ratios (mean / sd) for X and Y loadings to assess stability, mirroring common practice in Behavior PLSC.

Usage

bootstrap_plsc(
  x,
  X,
  Y,
  nboot = 500,
  comps = ncomp(x),
  seed = NULL,
  parallel = FALSE,
  epsilon = 1e-09,
  ...
)

Arguments

x	A fitted plsc object.
X	Original X block.
Y	Original Y block.
nboot	Number of bootstrap samples (default 500).
comps	Number of components to bootstrap (default: ncomp(x)).
seed	Optional integer seed for reproducibility.
parallel	Use future.apply for parallelization (default FALSE).
epsilon	Small positive constant to stabilize division for ratios.
...	Additional arguments (currently unused).

multivarious documentation built on Jan. 22, 2026, 1:06 a.m.