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facomplex: Methods for Assessing Factor Complexity in Factor Analysis Solutions

Provides methods for estimating factor complexity coefficients in exploratory and confirmatory factor analysis (EFA/CFA) results. Included indices are the Hofman coefficient, Fleming's approach for factor simplicity, and others. Additional outputs include descriptive statistics (minimum, maximum, and mean) for target and non-target loadings, and visualization of results. References: Fleming, J.S. (2003) <doi:10.3758/bf03195531>; Hofmann, R.J. (1978) <doi:10.1207/s15327906mbr1302_9>; Kaiser, H.F. (1974) <doi:10.1007/BF02291575>; Bentler, P.M. (1977) <doi:10.1007/BF02294054>; Lorenzo-Seva, U. (2003) <doi:10.1007/BF02296652>.

Version: 0.0.3
Depends: R (≥ 3.5.0)
Imports: ggplot2, stats
Suggests: knitr, rmarkdown, psych, lavaan, testthat (≥ 3.0.0)
Published: 2026-07-21
DOI: 10.32614/CRAN.package.facomplex (may not be active yet)
Author: Merino-Soto Cesar A. [aut, cre], Dominguez-Lara Sergio [ctb]
Maintainer: Merino-Soto Cesar A. <sikayax at yahoo.com.ar>
License: GPL-3
NeedsCompilation: no
Citation: facomplex citation info
Materials: README
CRAN checks: facomplex results

Documentation:

Reference manual: facomplex.html , facomplex.pdf
Vignettes: Example 2: Assessing Factor Simplicity from psych::fa() Output (source, R code)
Exploring Factor Complexity with ESEM: Example 1 (source, R code)

Downloads:

Package source: facomplex_0.0.3.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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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.
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