Other packages > Find by keyword >

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. Accessed 26 Aug. 2026.
Previous versions and publish date:
(2026-07-09 07:51), 0.1.0 (2021-12-03 09:20), 0.2.0 (2022-02-21 09:50), 0.2.1 (2022-09-02 09:20)
Other packages that cited kfa R package
View kfa citation profile
Other R packages that kfa depends, imports, suggests or enhances
Complete documentation for kfa
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

leafgl  
High-Performance 'WebGl' Rendering for Package 'leaflet'
Provides bindings to the 'Leaflet.glify' JavaScript library which extends the 'leaflet' JavaScript l ...
Download / Learn more Package Citations See dependency  
PCADSC  
Tools for Principal Component Analysis-Based Data Structure Comparisons
A suite of non-parametric, visual tools for assessing differences in data structures for two datase ...
Download / Learn more Package Citations See dependency  
SelvarMix  
Regularization for Variable Selection in Model-Based Clustering and Discriminant Analysis
Performs a regularization approach to variable selection in themodel-based clustering and classifica ...
Download / Learn more Package Citations See dependency  
RCytoGPS  
Using Cytogenetics Data in R
Defines classes and methods to process text-based cytogenetics using the CytoGPS web site, then imp ...
Download / Learn more Package Citations See dependency  
clinUtils  
General Utility Functions for Analysis of Clinical Data
Utility functions to facilitate the import, the reporting and analysis of clinical data. Example ...
Download / Learn more Package Citations See dependency  
ncodeR  
Techniques for Automated Classifiers
A set of techniques that can be used to develop, validate, and implement automated classifiers. A po ...
Download / Learn more Package Citations See dependency  

28,332

R Packages

239,283

Dependencies

75,113

Author Associations

28,333

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA