Methods for Assessing Factor Complexity and Simplicity in Factor Analysis Solutions R package facomplex version 1.0.0 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>. Software Depends: R (>= 3.5.0) Imports: ggplot2, stats Suggests: knitr, rmarkdown, psych, lavaan, testthat (>= 3.0.0) Merino-Soto Cesar A. <sikayax@yahoo.com.ar> Comprehensive R Archive Network (CRAN) Merino-Soto Cesar A. [aut, cre], Dominguez-Lara Sergio [ctb] GPL-3 2026-07-31 application/tgz https://CRAN.R-project.org/package=facomplex doi:10.32614/CRAN.package.facomplex