https://kabajiro.r-universe.devRecent package updates in kabajiroR-universehttps://github.com/kabajiro.pnghttps://kabajiro.r-universe.devThu, 02 Jul 2026 21:56:22 GMTdaijiro.kabata@port.kobe-u.ac.jp (Daijiro Kabata)Constructs a model-averaged propensity score as a convex combination of candidate propensity score models, with mixing weights selected on a simplex grid to optimize covariate or prognostic-score balance, implementing the method of Kabata, Stuart and Shintani (2024) <doi:10.1186/s12874-024-02350-y>. Prognostic scores follow Hansen (2008) <doi:10.1093/biomet/asn004>: outcome models are fit on untreated units only. The resulting score is designed to be supplied directly to the matchit() function of 'MatchIt' as a distance measure or to the weightit() function of 'WeightIt' as a propensity score, with balance assessment via 'cobalt'.https://github.com/r-universe/kabajiro/actions/runs/29145454273Thu, 02 Jul 2026 21:56:22 GMTpsAve1.0.1successhttps://kabajiro.r-universe.devhttps://github.com/kabajiro/psavepsAve.RmdpsAve.htmlGetting Started with psAve2026-07-02 14:15:212026-07-02 14:15:21method-details.Rmdmethod-details.htmlMethod details and design decisions2026-07-02 14:15:212026-07-02 14:15:21weighting.Rmdweighting.htmlReproducing the published IPW workflow2026-07-02 14:15:212026-07-02 14:15:21