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: |
0.8.0 |
| Depends: |
R (≥ 4.1.0) |
| Imports: |
psych, stats, ggplot2 (≥ 3.4.0), cli, Rcpp, future.apply, future, checkmate, progressr, rlang, clue |
| LinkingTo: |
Rcpp, RcppArmadillo, roptim |
| Suggests: |
testthat (≥ 3.0.0), GPArotation (≥ 2022.4-1), lavaan, lavaan.mi, MASS, knitr, rmarkdown, microbenchmark, vdiffr, polycor, mnormt, fungible, withr |
| Published: |
2026-07-07 |
| DOI: |
10.32614/CRAN.package.EFAtools |
| Author: |
Markus Steiner 
[aut, cre],
Silvia Steiner
[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],
Andreas Soteriades [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 |