Automated Item Removal Strategies for Exploratory Factor Analysis R package ItemRest version 0.2.5 Automates the identification and comparative evaluation of item-removal strategies in exploratory factor analysis, producing transparent summaries (explained variance, loading ranges, reliability) to support comfortable, reproducible decisions. The criteria are based on best practices and established heuristics (e.g., Costello & Osborne (2005) <doi:10.7275/jyj1-4868>, Howard (2016) <doi:10.1080/10447318.2015.1087664>). Includes flexible thresholds for factor loadings (min_loading) and cross-loading differences (loading_diff). Software Depends: R (>= 4.1) Imports: gtools, psych, qgraph, stats, utils Suggests: testthat (>= 3.0.0), knitr, rmarkdown Ahmet Çalışkan <ahmetcaliskan1987@gmail.com> Comprehensive R Archive Network (CRAN) Ahmet Çalışkan [aut, cre], Abdullah Faruk Kılıç [aut] MIT + file LICENSE (https://CRAN.R-project.org/package=ItemRest/LICENSE) 2026-04-14 application/tgz https://CRAN.R-project.org/package=ItemRest doi:10.32614/CRAN.package.ItemRest