serodynamics
Modeling Longitudinal Antibody Responses to Infection
Implements Bayesian hierarchical models for estimating antibody kinetic parameters from longitudinal serological data. Fits two-phase within-host models capturing antibody rise, peak, and decay following pathogen infection, using 'JAGS' for posterior inference. Designed as the upstream companion to the 'serocalculator' package for end-to-end seroepidemiological analysis. Methods are described in Teunis and colleagues (2016) <doi:10.1016/j.epidem.2016.04.001> and Teunis and van Eijkeren (2020) <doi:10.1002/sim.8578>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.1.0 |
rolling linux/jammy R-4.5 | serodynamics_0.1.0.tar.gz |
397.8 KiB |
0.1.0 |
rolling linux/noble R-4.5 | serodynamics_0.1.0.tar.gz |
398.1 KiB |
0.1.0 |
rolling source/ R- | serodynamics_0.1.0.tar.gz |
5.3 MiB |
0.1.0 |
latest linux/jammy R-4.5 | serodynamics_0.1.0.tar.gz |
397.8 KiB |
0.1.0 |
latest linux/noble R-4.5 | serodynamics_0.1.0.tar.gz |
398.1 KiB |
0.1.0 |
latest source/ R- | serodynamics_0.1.0.tar.gz |
5.3 MiB |
0.1.0 |
2026-04-23 source/ R- | serodynamics_0.1.0.tar.gz |
0 B |