Description: Functions for eleven procedures for determining the number of
Kendall correlations, Spearman correlations, gamma correlations, or polychoric
correlations. Varimax rotation, promax rotation, and Procrustes rotations can be
performed. Additional functions focus on the factorability of a correlation matrix,
the congruences between factors from different datasets, the assessment of local
independence, and the assessment of factor solution complexity.
Imports: stats, psych, polycor, EFAtools
Packaged: 2021-02-05 11:45:17 UTC; brianoconnor

Packaged: 2021-09-05 12:08:01 UTC; brianoconnor

test. There are also functions for conducting principal components analysis, principal
independence, the assessment of factor solution complexity, and internal consistency.
Packaged: 2022-02-06 12:00:28 UTC; brianoconnor

Title: Fast and Flexible Implementations of Exploratory Factor Analysis
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++.
Imports: lavaan, psych, crayon, stringr, stats, ggplot2, plotly,
tibble, magrittr, dplyr, cli, Rcpp, viridisLite, graphics,
parallel, future.apply, future, GPArotation, checkmate,

Imports: lavaan, psych, crayon, stringr, stats, ggplot2, tibble,
magrittr, dplyr, cli, Rcpp, viridisLite, graphics,
Suggests: testthat, knitr, rmarkdown, microbenchmark

future.apply, future, GPArotation, checkmate, tidyr, progressr,

Title: Utility Functions for Exploratory Factor Analysis
Author: Guangjian Zhang, Ge Jiang, Minami Hattori, Lauren Trichtinger
Description: A number of utility function for exploratory
factor analysis are included in this package. In particular, it computes standard errors for parameter estimates and factor correlations under a variety of conditions.