Fast and Flexible Implementations of Exploratory Factor Analysis Tools R package EFAtools version 0.7.1 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++. Software 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, clue LinkingTo: Rcpp, RcppArmadillo Suggests: testthat, knitr, rmarkdown, microbenchmark Markus Steiner <markus.d.steiner@gmail.com> Comprehensive R Archive Network (CRAN) 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], Andreas Soteriades [ctb] GPL-3 2026-05-08 application/tgz https://CRAN.R-project.org/package=EFAtools doi:10.32614/CRAN.package.EFAtools