serosv
Model Infectious Disease Parameters from Serosurveys
An easy-to-use and efficient tool to estimate infectious diseases parameters using serological data. Implemented models include SIR models (basic_sir_model(), static_sir_model(), mseir_model(), sir_subpops_model()), parametric models (polynomial_model(), fp_model()), nonparametric models (lp_model()), semiparametric models (penalized_splines_model()), hierarchical models (hierarchical_bayesian_model()). The package is based on the book "Modeling Infectious Disease Parameters Based on Serological and Social Contact Data: A Modern Statistical Perspective" (Hens, Niel & Shkedy, Ziv & Aerts, Marc & Faes, Christel & Damme, Pierre & Beutels, Philippe., 2013) <doi:10.1007/978-1-4614-4072-7>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
1.3.0 |
rolling linux/jammy R-4.5 | serosv_1.3.0.tar.gz |
4.4 MiB |
1.3.0 |
rolling linux/noble R-4.5 | serosv_1.3.0.tar.gz |
4.5 MiB |
1.3.0 |
rolling source/ R- | serosv_1.3.0.tar.gz |
3.6 MiB |
1.3.0 |
latest linux/jammy R-4.5 | serosv_1.3.0.tar.gz |
4.4 MiB |
1.3.0 |
latest linux/noble R-4.5 | serosv_1.3.0.tar.gz |
4.5 MiB |
1.3.0 |
latest source/ R- | serosv_1.3.0.tar.gz |
3.6 MiB |
1.3.0 |
2026-04-26 source/ R- | serosv_1.3.0.tar.gz |
3.6 MiB |
1.3.0 |
2026-04-23 source/ R- | serosv_1.3.0.tar.gz |
3.6 MiB |
1.3.0 |
2026-04-09 windows/windows R-4.5 | serosv_1.3.0.zip |
4.6 MiB |
1.1.0 |
2025-04-20 source/ R- | serosv_1.1.0.tar.gz |
2.1 MiB |
Dependencies (latest)
Imports
LinkingTo
- BH (>= 1.66.0)
- Rcpp (>= 0.12.0)
- RcppEigen (>= 0.3.3.3.0)
- RcppParallel (>= 5.0.1)
- rstan (>= 2.18.1)
- StanHeaders (>= 2.18.0)