Reconstructing Antibody Dynamics to Estimate the Risk of Influenza Virus Infection // 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.