Bayesian Household Transmission Modeling with 'Stan' R package HHBayes version 0.1.1 Provides a streamlined pipeline to simulate household infection dynamics, estimate transmission parameters, and visualize epidemic timelines. Uses a Bayesian approach with 'Stan' that models transmission probability as a function of viral load, seasonality and infectivity, multiple infection episodes (reinfections), and waning immunity modeling. Li et al. (2026) <doi:10.64898/2026.04.01.26349903>). Software Depends: R (>= 3.4.0) Imports: methods, Rcpp (>= 0.12.0), rstan (>= 2.18.1), rstantools (>= 2.4.0), dplyr, ggplot2, tidyr, ggpubr, scales, deSolve, rlang LinkingTo: BH (>= 1.66.0), Rcpp (>= 0.12.0), RcppEigen (>= 0.3.3.3.0), RcppParallel (>= 5.0.1), rstan (>= 2.18.1), StanHeaders (>= 2.18.0) Suggests: knitr, rmarkdown, RcppParallel (>= 5.0.1), cowplot Ke Li <ke.li.kl662@yale.edu> Comprehensive R Archive Network (CRAN) Ke Li [aut, cre] (ORCID: <https://orcid.org/0000-0002-1252-670X>), Yiren Hou [aut] (ORCID: <https://orcid.org/0009-0005-0422-4268>) MIT + file LICENSE (https://CRAN.R-project.org/package=HHBayes/LICENSE) 2026-04-10 application/tgz https://CRAN.R-project.org/package=HHBayes doi:10.32614/CRAN.package.HHBayes