OptimalFactor: Item Selection in Factor Analysis by Boosting and Specification Search

Provides an iterative optimization algorithm for exploratory and confirmatory factor analysis that follows a boosting approach inspired by machine learning. It uses a composite fit index whose weights adapt to the degrees of freedom and the sample size, following Kenny and McCoach (2003) <doi:10.1207/S15328007SEM1003_1> and Shi, Lee and Maydeu-Olivares (2019) <doi:10.1177/0013164418783530>. It detects and removes problematic items (Heywood cases, cross-loadings, low loadings) with greedy or global search strategies, checks interfactor correlations, and supports ordinal data with WLSMV estimation and several rotation methods. A heuristic specification search for confirmatory models (MacCallum, 1986 <doi:10.1037/0033-2909.100.1.107>) explores move, drop and covariance operations across seed configurations. It also evaluates the resampling stability of the item selection, the recovery of a known or theoretical structure, and offers an optional conceptual analysis of removed items through a large language model service.

Version: 1.5.0
Depends: R (≥ 4.0.0)
Imports: lavaan, psych, dplyr, tidyr, ggplot2, stringr, parallel, stats, utils
Suggests: testthat (≥ 3.0.0), httr, jsonlite, R.utils, knitr, rmarkdown, semTools
Published: 2026-10-24
DOI: 10.32614/CRAN.package.OptimalFactor (may not be active yet)
Author: Jose Ventura-Leon ORCID iD [aut, cre]
Maintainer: Jose Ventura-Leon <jventuraleon at gmail.com>
BugReports: https://github.com/jventural/OptimalFactor/issues
License: GPL (≥ 3)
URL: https://github.com/jventural/OptimalFactor, https://jventural.github.io/OptimalFactor/
NeedsCompilation: no
Materials: README, NEWS
CRAN checks: OptimalFactor results

Documentation:

Reference manual: OptimalFactor.html , OptimalFactor.pdf
Vignettes: Introduction to OptimalFactor (source, R code)
EFA-Boosting Algorithm (source, R code)

Downloads:

Package source: OptimalFactor_1.5.0.tar.gz
Windows binaries: r-devel: not available, r-release: not available, r-oldrel: not available
macOS binaries: r-release (arm64): not available, r-oldrel (arm64): not available, r-release (x86_64): not available, r-oldrel (x86_64): not available

Linking:

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