https://alkemalab.r-universe.devRecent package updates in alkemalabR-universehttps://github.com/alkemalab.pnghttps://alkemalab.r-universe.devTue, 09 Jun 2026 16:19:22 GMTlalkema@umass.edu (Leontine Alkema)Fits Bayesian hierarchical transition models to health coverage indicators (e.g., ANC4, institutional delivery) using survey and routine data. Implements models using Stan for Bayesian inference, with support for global and local (country-specific) model fitting, out-of-sample validation, and subnational estimation.https://github.com/r-universe/alkemalab/actions/runs/27220710711Tue, 09 Jun 2026 16:19:22 GMTbayescoveragemodel0.12successhttps://alkemalab.r-universe.devhttps://github.com/AlkemaLab/bayescoveragemodellalkema@umass.edu (Leontine Alkema)Provides precompiled Stan models for fitting local country-level Bayesian hierarchical transition models for health coverage indicators. This package uses the rstan backend with precompiled models for users without C++ compilers. All core functionality is provided by the bayescoveragemodel package.https://github.com/r-universe/alkemalab/actions/runs/27192186866Tue, 09 Jun 2026 04:50:03 GMTbayescoveragedeploy0.2successhttps://alkemalab.r-universe.devhttps://github.com/AlkemaLab/bayescoveragedeploylalkema@umass.edu (Leontine Alkema)The localhierarchy package implements a flexible set up to estimate parameters hierarchically and to carry out local model fits, whereby higher-level parameters are fixed.https://github.com/r-universe/alkemalab/actions/runs/26800417337Tue, 02 Jun 2026 03:07:50 GMTlocalhierarchy0.91successhttps://alkemalab.r-universe.devhttps://github.com/AlkemaLab/localhierarchy