kfa: K-Fold Cross Validation for Factor Analysis

Provides functions to explore possible factor structures for a set of variables and helps identify plausible and replicable structures via *k*-fold cross validation. The process combines the exploratory and confirmatory factor analytic approach to scale development (Flora & Flake, 2017) <doi:10.1037/cbs0000069> with a cross validation technique that maximizes the available data. Also available are functions to determine *k* by drawing on power analytic techniques for covariance structures (MacCallum, Browne, & Sugawara, 1996) <doi:10.1037/1082-989X.1.2.130>, generate model syntax, and summarize results in a report.

Version: 0.1.0
Depends: R (≥ 3.6)
Imports: caret, doParallel, flextable (≥ 0.6.3), foreach, GPArotation, knitr, lavaan (≥ 0.6.9), officer, parallel, rmarkdown, semPlot, semTools (≥ 0.5.5), simstandard
Published: 2021-12-03
Author: Kyle Nickodem [aut, cre] and Peter Halpin [aut]
Maintainer: Kyle Nickodem <kyle.nickodem at gmail.com>
BugReports: https://github.com/knickodem/kfa/issues
License: GPL (≥ 3)
URL: <https://github.com/knickodem/kfa>
NeedsCompilation: no
Materials: README NEWS
CRAN checks: kfa results

Documentation:

Reference manual: kfa.pdf

Downloads:

Package source: kfa_0.1.0.tar.gz
Windows binaries: r-devel: kfa_0.1.0.zip, r-release: kfa_0.1.0.zip, r-oldrel: kfa_0.1.0.zip
macOS binaries: r-release (arm64): kfa_0.1.0.tgz, r-release (x86_64): kfa_0.1.0.tgz, r-oldrel: kfa_0.1.0.tgz

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