chunkwise_lm.latent_dataset: Internal function for performing chunkwise linear regression...

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

Internal function for performing chunkwise linear regression on latent datasets

Description

Internal function for performing chunkwise linear regression on latent datasets

Usage

## S3 method for class 'latent_dataset'
chunkwise_lm(
  dset,
  model,
  conlist,
  nchunks,
  robust = FALSE,
  verbose = FALSE,
  autocor = c("auto", "ar1", "ar2", "arma", "none"),
  bootstrap = FALSE,
  nboot = 1000,
  boot_rows = FALSE
)

Arguments

dset	A latent dataset object.
model	The fmri model object.
conlist	A list of contrasts.
nchunks	The number of chunks to use for the regression.
robust	Logical, if TRUE, robust regression will be performed.
verbose	Logical, if TRUE, additional output will be printed.
autocor	A character string specifying the autocorrelation method to use.
bootstrap	Logical, if TRUE, bootstrapping will be performed.
nboot	The number of bootstrap iterations.
boot_rows	Logical, if TRUE, bootstrap row-wise.

Details

This function is an internal helper function for fmri_latent_lm, which performs chunkwise linear regression on latent datasets. The function handles different autocorrelation options, as well as robust regression and bootstrapping.

Value

A list containing the results of the chunkwise linear regression.

See Also

fmri_latent_lm

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