seroreconstruct
Reconstructing Antibody Dynamics to Estimate the Risk of Influenza Virus Infection
v1.1.5
·
Apr 3, 2026
·
GPL (>= 2)
Description
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.
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1.1.5
Apr 3, 2026