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 |
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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