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Package: EFAtools
Title: Fast and Flexible Implementations of Exploratory Factor Analysis Tools
Version: 0.4.1
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"))
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: 7.1.2
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
VignetteBuilder: knitr