https://accidda.r-universe.devRecent package updates in acciddaR-universehttps://github.com/accidda.pnghttps://accidda.r-universe.devTue, 16 Jun 2026 20:06:05 GMTcarl.ab.pearson@gmail.com (Carl Pearson)Fits Bayesian hierarchical models of vaccine coverage by location, birth cohort, and age. Observations of vaccination status (which may span cohorts, ages, and doses) are used to fit a latent survival-style process model that decomposes coverage into a lifetime propensity to vaccinate and a time-varying force of vaccination. Hierarchical spatial structure (e.g., state, county, school) supports partial pooling via random effects. Models are implemented in 'Stan' and fit via 'rstan'. Provides helpers to validate user-supplied input data, and to predict coverage from fitted models.https://github.com/r-universe/accidda/actions/runs/28020146892Tue, 16 Jun 2026 20:06:05 GMTimuGAP0.1.0failurehttps://accidda.r-universe.devhttps://github.com/accidda/imugapimuGAP.RmdimuGAP.htmlimuGAP, Immunity: Geographic & Age-based Projection2025-11-30 23:13:042026-06-16 19:35:17carl.ab.pearson@gmail.com (Carl Pearson)A convenient framework for aggregating and disaggregating continuously varying parameters (for example, case fatality ratio, with age) for proper parametrization of lower-resolution compartmental models (for example, with broad age categories) and subsequent upscaling of model outputs to high resolution (for example, as needed when calculating age-sensitive measures like years-life-lost).https://github.com/r-universe/accidda/actions/runs/27984199180Thu, 21 Aug 2025 20:52:07 GMTparamix0.0.2successhttps://accidda.r-universe.devhttps://github.com/accidda/paramixintro.Rmdintro.htmlIntroductory Usage: paramix2024-04-13 07:51:492024-11-07 19:25:51