https://pgmj.r-universe.devRecent package updates in pgmjR-universehttps://github.com/pgmj.pnghttps://pgmj.r-universe.devTue, 02 Jun 2026 11:43:16 GMTpgmj@pm.me (Magnus Johansson)Implements the Leunbach test equating method, following the 'DIGRAM' software written by Svend Kreiner. Both direct and indirect equating are available, with parametric bootstrap standard errors and diagnostic statistics including the Goodman-Kruskal gamma test and orbit analysis for person fit. See Adroher et al. (2019) <doi:10.1186/s12874-019-0768-y> for details of the method.https://github.com/r-universe/pgmj/actions/runs/26888088541Tue, 02 Jun 2026 11:43:16 GMTleunbachR0.1.0successhttps://pgmj.r-universe.devhttps://github.com/pgmj/leunbachrleunbachR.RmdleunbachR.htmlIntroduction to Leunbach test equating2026-05-23 10:20:352026-05-29 10:38:13pgmj@pm.me (Magnus Johansson)Reproduces classic Rasch psychometric analysis features using Bayesian item response theory models fitted with 'brms' following Bürkner (2021) <doi:10.18637/jss.v100.i05> and Bürkner (2020) <doi:10.3390/jintelligence8010005>. Supports both dichotomous and polytomous Rasch models. Features include posterior predictive item fit, conditional infit, item-restscore associations, person fit, differential item functioning, local dependence assessment via Q3 residual correlations, dimensionality assessment with residual principal components analysis, person-item targeting plots, item category probability curves, and reliability using relative measurement uncertainty following Bignardi et al. (2025) <doi:10.31234/osf.io/h54k8_v1>.https://github.com/r-universe/pgmj/actions/runs/26221185153Thu, 21 May 2026 09:27:25 GMTeasyRaschBayes0.3.0successhttps://pgmj.r-universe.devhttps://github.com/pgmj/easyraschbayespcm-rasch-analysis.Rmdpcm-rasch-analysis.htmlRasch Partial Credit Model with easyRaschBayes2026-02-27 15:09:452026-03-27 16:19:07