efast_hemi: Estimate an EFAST-hemi model

In vankesteren/efast: Exploratory Factor Analysis with Structured Residuals

Estimate an EFAST-hemi model

Description

This function estimates efast models with covariance due to hemispheric symmetry.

Usage

efast_hemi(
  data,
  M,
  lh_idx,
  rh_idx,
  roi_names,
  constrain = FALSE,
  sample.nobs = NULL,
  auto.fix.first = FALSE,
  auto.var = TRUE,
  auto.efa = TRUE,
  information = "observed",
  std.ov = TRUE,
  ...
)

Arguments

data	<data.frame> the dataset or <matrix> covariance matrix
M	<numeric> How many factors, minimum 2
lh_idx	<numeric> column numbers of left hemisphere variables
rh_idx	<numeric> column numbers of right hemisphere variables
roi_names	<character> optional names of rois
constrain	<bool> whether to constrain the symmetry (see details)
sample.nobs	<numeric> sample size (if data = covmat, see lavaan)
auto.fix.first	<bool> see lavaan
auto.var	<bool> see lavaan
auto.efa	<bool> see lavaan
information	<character> see lavaan
std.ov	<bool> see lavaan
...	other arguments passed to lavaan

Details

The constrained model constrains the residual covariance to be equal across the different ROIs.

Examples

## Not run: 
# create a test dataset
test_data <- simulate_efast()
fit_efast <- efast_hemi(test_data, M = 4, 1:17, 18:34)
summary(fit_efast)

## End(Not run)

vankesteren/efast documentation built on March 5, 2024, 9:41 p.m.