Package: EFAtools
Title: Fast and Flexible Implementations of Exploratory Factor Analysis
        Tools
Version: 0.7.1
Authors@R: 
    c(person(given = "Markus",
             family = "Steiner",
             role = c("aut", "cre"),
             email = "markus.d.steiner@gmail.com"),
      person(given = "Silvia",
             family = "Grieder",
             role = "aut",
             email = "silvia.grieder@gmail.com"),
      person(given = "William",
             family = "Revelle",
             role = "ctb"),
      person(given = "Max",
             family = "Auerswald",
             role = "ctb"),
      person(given = "Morten",
             family = "Moshagen",
             role = "ctb"),
      person(given = "John",
             family = "Ruscio",
             role = "ctb"),
      person(given = "Brendan",
             family = "Roche",
             role = "ctb"),
      person(given = "Urbano",
             family = "Lorenzo-Seva",
             role = "ctb"),
      person(given = "David",
             family = "Navarro-Gonzalez",
             role = "ctb"),
      person(given = "Johan",
             family = "Braeken",
             role = "ctb"),
      person(given = "Andreas",
             family = "Soteriades",
             role = "ctb"))
Description: 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++.
Depends: R (>= 3.6.0)
License: GPL-3
Encoding: UTF-8
LazyData: true
URL: https://github.com/mdsteiner/EFAtools
BugReports: https://github.com/mdsteiner/EFAtools/issues
RoxygenNote: 7.3.3
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
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2026-05-08 11:28:56 UTC; ma1159938
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],
  Andreas Soteriades [ctb]
Maintainer: Markus Steiner <markus.d.steiner@gmail.com>
Repository: CRAN
Date/Publication: 2026-05-08 12:20:02 UTC
Built: R 4.6.0; x86_64-w64-mingw32; 2026-06-18 03:24:30 UTC; windows
Archs: x64
