EFAtools: Fast and Flexible Implementations of Exploratory Factor Analysis Tools

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: 0.1.1
Depends: R (≥ 3.6.0)
Imports: lavaan, psych, crayon, stringr, stats, ggplot2, tibble, magrittr, dplyr, cli, Rcpp, viridisLite, graphics, future.apply, future, GPArotation, checkmate
LinkingTo: Rcpp, RcppArmadillo
Suggests: testthat, knitr, rmarkdown, microbenchmark
Published: 2020-07-13
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>
License: GPL-3
NeedsCompilation: yes
Materials: README NEWS
CRAN checks: EFAtools results

Downloads:

Reference manual: EFAtools.pdf
Vignettes: EFAtools
Package source: EFAtools_0.1.1.tar.gz
Windows binaries: r-devel: EFAtools_0.1.1.zip, r-release: EFAtools_0.1.1.zip, r-oldrel: EFAtools_0.1.1.zip
macOS binaries: r-release: EFAtools_0.1.1.tgz, r-oldrel: EFAtools_0.1.1.tgz
Old sources: EFAtools archive

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