Reconstructing Antibody Dynamics to Estimate the Risk of Influenza Virus Infection R package seroreconstruct version 1.1.5 A Bayesian framework for inferring influenza infection status from serial antibody measurements. Jointly estimates season-specific infection probabilities, antibody boosting and waning after infection, and baseline hemagglutination inhibition (HAI) titer distributions via Markov chain Monte Carlo (MCMC). Supports multi-season analysis and subgroup comparisons via a group_by interface. See Tsang et al. (2022) <doi:10.1038/s41467-022-29310-8> for methodological details. Software Depends: R (>= 3.5.0) Imports: Rcpp (>= 1.0.9), RcppParallel LinkingTo: Rcpp, RcppArmadillo, RcppParallel Suggests: testthat (>= 3.0.0), knitr, rmarkdown Tim Tsang <timkltsang@gmail.com> Comprehensive R Archive Network (CRAN) Tim Tsang [aut, cre] (ORCID: <https://orcid.org/0000-0001-5037-6776>) GPL (>= 2) 2026-04-03 application/tgz https://CRAN.R-project.org/package=seroreconstruct doi:10.32614/CRAN.package.seroreconstruct