kfa: K-Fold Cross Validation for Factor Analysis
Provides functions to identify plausible and replicable factor structures for a set of variables 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 (Hastie, Tibshirani, & Friedman, 2009) <isbn:978-0-387-21606-5>. 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: | 0.2.2 |
| Depends: | R (≥ 3.6) |
| Imports: | caret,doParallel,flextable (≥ 0.6.3),foreach,GPArotation,knitr,lavaan (≥ 0.6.9),officer, parallel,rmarkdown,semTools (≥ 0.5.5),simstandard |
| Suggests: | semPlot |
| Published: | 2023-07-09 |
| DOI: | 10.32614/CRAN.package.kfa |
| 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 |
| Citation: | kfa citation info |
| Materials: | README,NEWS |
| CRAN checks: | kfa results |
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