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kfa  

K-Fold Cross Validation for Factor Analysis
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]
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
Previous versions and publish date:
0.1.0 (2021-12-03 09:20), 0.2.0 (2022-02-21 09:50), 0.2.1 (2022-09-02 09:20)
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