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: | 0.6.1 |
| 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: | 2025-07-30 |
| 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], Johan Braeken [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 |