The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.

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
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

Documentation:

Reference manual: kfa.pdf

Downloads:

Package source: kfa_0.2.2.tar.gz
Windows binaries: r-devel: kfa_0.2.2.zip, r-release: kfa_0.2.2.zip, r-oldrel: kfa_0.2.2.zip
macOS binaries: r-release (arm64): kfa_0.2.2.tgz, r-oldrel (arm64): kfa_0.2.2.tgz, r-release (x86_64): kfa_0.2.2.tgz, r-oldrel (x86_64): kfa_0.2.2.tgz
Old sources: kfa archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=kfa to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.