Skip to content
master
Switch branches/tags
Code

Latest commit

 

Git stats

Files

Permalink
Failed to load latest commit information.
Type
Name
Latest commit message
Commit time
R
 
 
 
 
 
 
img
 
 
man
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

EFAST

Exploratory Factor Analysis with Structured Residuals

DOI

Create and fit exploratory factor analysis with structured residuals (EFAST) models for data with feature covariance due to symmetry structure.


Installing efast

Run the following code to install efast with the tutorial vignette.

remotes::install_github("vankesteren/efast")

Quickstart

To quickly fit an EFAST model and see the structure of the data required, you can use simulated data from the package:

library(efast)
simdat <- simulate_efast()
fit_sim <- efast_hemi(
  data   = simdat, 
  M      = 4, 
  lh_idx = 1:17, 
  rh_idx = 18:34
)
efast_loadings(fit_sim, symmetry = TRUE)
lateralization(fit_sim)

Tutorial

An extended tutorial for using EFAST can be found on the GitHub pages site.

Support

Questions can be asked on the issues page. I'll try to answer them as soon as possible!

About

Exploratory Factor Analysis with Structured Residuals

Resources

License

Packages

No packages published

Languages