EFAtools: Fast and Flexible Implementations of Exploratory Factor Analysis Tools (original) (raw)
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: | 0.5.0 |
|---|---|
| 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: | 2025-05-23 |
| 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 |
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