https://klarizhang.r-universe.devRecent package updates in klarizhangR-universehttps://github.com/klarizhang.pnghttps://klarizhang.r-universe.devTue, 02 Jun 2026 10:22:18 GMT1755454769@qq.com (Ziyu Liu)A comprehensive toolkit for intraclass correlation coefficient (ICC) analysis, integrating three core functionalities: (1) Closed-form sample size calculation for ICC estimation with assurance probability, based on Zou (2012) <doi:10.1002/sim.5466>; (2) Full implementation of all 10 ICC types (6 common + 4 supplementary) for point estimation, exact confidence interval calculation, and formal hypothesis testing, following the methods of McGraw & Wong (1996) <doi:10.1037/1082-989X.1.1.30> and the standard decision framework; (3) An interactive 'shiny' application that guides users through ICC type selection, performs calculations, and provides reliability evaluation based on the Koo & Li (2016) <doi:10.1016/j.jcm.2016.02.012> criteria. Compared to existing packages, it provides a unified decision workflow and supports all less common ICC variants.https://github.com/r-universe/klarizhang/actions/runs/27132978074Tue, 02 Jun 2026 10:22:18 GMTICCDesign0.1.1successhttps://klarizhang.r-universe.devhttps://github.com/klarizhang/iccdesign