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: 0.6.0 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: 2025-06-19 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 Documentation: Downloads: Reverse dependencies: Linking:Please use the canonical form https://CRAN.R-project.org/package=EFAtools to link to this page.
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