https://minimeini.r-universe.devRecent package updates in minimeiniR-universehttps://github.com/minimeini.pnghttps://minimeini.r-universe.devFri, 23 Oct 2026 20:45:46 GMTmeini.tang@gmail.com (Meini Tang)Bayesian inference for a general class of state-space models for count data, providing a unified interface to variational Bayes and Markov chain Monte Carlo. Models are assembled from modular components for the observation distribution, link function, gain function, lag distribution, system equation, and system error, and support Poisson and negative binomial observations together with seasonality terms. The model class and the hybrid variational approximation are described in Tang and Prado (2026) <doi:10.1016/j.csda.2026.108368>.https://github.com/r-universe/minimeini/actions/runs/40868893455Fri, 23 Oct 2026 20:45:46 GMTdgtf0.1.0successhttps://minimeini.r-universe.devhttps://github.com/minimeini/dgtfcovid.Rmdcovid.htmlCOVID modeling with dgtf2026-10-23 20:45:462026-10-23 20:45:46getting-started.Rmdgetting-started.htmlGetting started with dgtf2026-10-23 20:45:462026-10-23 20:45:46