Provides functions to perform exploratory factor analysis (EFA) procedures and compare their solutions. The goal is to provide state-of-the-art factor retention methods and a high degree of flexibility in the EFA procedures. This way, for example, implementations from R 'psych' and 'SPSS' can be compared. Moreover, functions for Schmid-Leiman transformation and the computation of omegas are provided. To speed up the analyses, some of the iterative procedures, like principal axis factoring (PAF), are implemented in C++.
| Version: |
0.4.4 |
| Depends: |
R (≥ 3.6.0) |
| Imports: |
lavaan, psych, crayon, stringr, stats, ggplot2, tibble, magrittr, dplyr, cli, Rcpp, viridisLite, graphics, future.apply, future, GPArotation, checkmate, tidyr, progressr, progress, rlang |
| LinkingTo: |
Rcpp, RcppArmadillo |
| Suggests: |
testthat, knitr, rmarkdown, microbenchmark |
| Published: |
2023-01-06 |
| DOI: |
10.32614/CRAN.package.EFAtools |
| Author: |
Markus Steiner [aut, cre],
Silvia Grieder [aut],
William Revelle [ctb],
Max Auerswald [ctb],
Morten Moshagen [ctb],
John Ruscio [ctb],
Brendan Roche [ctb],
Urbano Lorenzo-Seva [ctb],
David Navarro-Gonzalez [ctb] |
| Maintainer: |
Markus Steiner <markus.d.steiner at gmail.com> |
| BugReports: |
https://github.com/mdsteiner/EFAtools/issues |
| License: |
GPL-3 |
| URL: |
https://github.com/mdsteiner/EFAtools |
| NeedsCompilation: |
yes |
| Citation: |
EFAtools citation info |
| Materials: |
README NEWS |
| CRAN checks: |
EFAtools results |