https://eunscho.r-universe.devRecent package updates in eunschoR-universehttps://github.com/eunscho.pnghttps://eunscho.r-universe.devWed, 01 Jul 2026 01:55:21 GMTbene@kw.ac.kr (Eunseong Cho)Provides a derivative-based optimization framework that allows users to combine eight convergence criteria. Unlike standard optimization functions, this package includes a built-in mechanism to verify the positive definiteness of the Hessian matrix at the point of convergence. This additional check helps prevent the solver from falsely identifying non-optimal solutions, such as saddle points, as valid minima.https://github.com/r-universe/eunscho/actions/runs/28495696880Wed, 01 Jul 2026 01:55:21 GMToptimflex0.1.8successhttps://eunscho.r-universe.devhttps://github.com/eunscho/optimflexIntroduction-to-optimflex.RmdIntroduction-to-optimflex.htmlIntroduction to optimflex2026-02-08 05:38:312026-05-31 05:11:26bene@kw.ac.kr (Eunseong Cho)Calculates and compares various reliability coefficients for unidimensional and multidimensional scales. Supported unidimensional estimators include coefficient alpha, congeneric reliability, the Gilmer-Feldt coefficient, Feldt's classical congeneric reliability, Hancock's H, Heise-Bohrnstedt's omega, Kaiser-Caffrey's alpha, and Ten Berge and Zegers' mu series. Multidimensional estimators include stratified alpha, maximal reliability, correlated factors reliability, second-order factor reliability, and bifactor reliability. See Cho (2021) <doi:10.1007/s11336-021-09801-1>, Cho (2024) <doi:10.1037/met0000475>, Cho (2025) <doi:10.1037/met0000525>.https://github.com/r-universe/eunscho/actions/runs/26943155374Thu, 05 Mar 2026 10:30:10 GMTreliacoef1.0.1successhttps://eunscho.r-universe.devhttps://github.com/cran/reliacoefintroduction.Rmdintroduction.htmlIntroduction to reliacoef2026-03-05 10:30:102026-03-05 10:30:10