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kfa
View on CRAN: Click
here
Download and install kfa package within the R console
Install from CRAN:
install.packages("kfa")
Install from Github:
library("remotes")
install_github("cran/kfa") Install by package version:
library("remotes")
install_version("kfa", "0.2.2") Attach the package and use:
library("kfa")
Maintained by
Kyle Nickodem
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2021-12-03
Latest Update: 2023-07-09
Description:
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) with a cross validation
technique that maximizes the available data (Hastie, Tibshirani, & Friedman, 2009)
. Also available are functions to determine k by drawing
on power analytic techniques for covariance structures (MacCallum, Browne, &
Sugawara, 1996) , generate model syntax, and
summarize results in a report.
How to cite:
Kyle Nickodem (2021). kfa: K-Fold Cross Validation for Factor Analysis. R package version 0.2.2, https://cran.r-project.org/web/packages/kfa. Accessed 04 Jun. 2026.
Previous versions and publish date:
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imports, suggests or enhances
Complete documentation for kfa
Functions, R codes and Examples using
the kfa R package
Some associated functions: agg_cors . agg_loadings . agg_model_fit . agg_rels . efa_cfa_syntax . example.kfa . find_k . get_std_loadings . index_available . k_model_fit . kfa . kfa_report . model_structure . run_efa . write_efa .
Some associated R codes: Aggregate-Functions.R . Fit-Functions.R . Syntax-Functions.R . example-kfa-data.R . find_k.R . k_cfa.R . k_efa.R . kfa.R . kfa_report.R . run_efa.R . Full kfa package functions and examples
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