multiresponse_bootstrap_lm: Multiresponse Bootstrap Linear Model

In bbuchsbaum/fmrireg: R package for the anlysis of fmri data

Multiresponse Bootstrap Linear Model

Description

This function performs multiresponse bootstrap for a linear model.

Usage

multiresponse_bootstrap_lm(
  form,
  data_env,
  conlist,
  vnames,
  fcon,
  modmat,
  block_size = 30,
  boot_rows = FALSE,
  nboot = 100,
  event_indices
)

Arguments

form	Formula for the linear model.
data_env	Environment containing the data for the linear model.
conlist	List of contrasts.
vnames	Vector of variable names.
fcon	Contrasts for fixed effects.
modmat	Model matrix.
block_size	Size of the blocks for the bootstrap (default: 30).
boot_rows	Logical flag indicating whether to bootstrap rows (default: FALSE).
nboot	Number of bootstrap iterations (default: 100).
event_indices	Indices of events.

Value

A list containing the original fitted model and bootstrap results.

bbuchsbaum/fmrireg documentation built on May 16, 2023, 10:56 a.m.