Automated Item Removal Strategies for Exploratory Factor Analysis R package ItemRest version 1.0.0 Identifies candidate item sets through threshold-driven iterative removal searches in exploratory factor analysis. Provides a no-removal baseline, numerical diagnostics, factor reliability, holdout evaluation, and bootstrap search stability to support transparent screening and documented content review rather than automatic measurement decisions. The loading 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: clue, GPArotation, gtools, psych, qgraph, stats, tools, utils Suggests: testthat (>= 3.2.0), knitr, rmarkdown, lavaan 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) 2026-10-05 application/tgz https://CRAN.R-project.org/package=ItemRest doi:10.32614/CRAN.package.ItemRest