seroreconstruct
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.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
1.1.5 |
rolling linux/jammy R-4.5 | seroreconstruct_1.1.5.tar.gz |
830.1 KiB |
1.1.5 |
rolling linux/noble R-4.5 | seroreconstruct_1.1.5.tar.gz |
832.1 KiB |
1.1.5 |
rolling source/ R- | seroreconstruct_1.1.5.tar.gz |
621.8 KiB |
1.1.5 |
latest linux/jammy R-4.5 | seroreconstruct_1.1.5.tar.gz |
830.1 KiB |
1.1.5 |
latest linux/noble R-4.5 | seroreconstruct_1.1.5.tar.gz |
832.1 KiB |
1.1.5 |
latest source/ R- | seroreconstruct_1.1.5.tar.gz |
621.8 KiB |
1.1.5 |
2026-04-26 source/ R- | seroreconstruct_1.1.5.tar.gz |
621.8 KiB |
1.1.5 |
2026-04-23 source/ R- | seroreconstruct_1.1.5.tar.gz |
621.8 KiB |
1.1.5 |
2026-04-09 windows/windows R-4.5 | seroreconstruct_1.1.5.zip |
1.1 MiB |