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>.
- Version1.0.1
- R versionunknown
- LicenseMIT
- LicenseLICENSE
- Needs compilation?Yes
- 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)
- Last release10/18/2024
Documentation
Team
Anh Phan Truong Quynh
Marc Choisy
Show author detailsRolesAuthorThinh Ong
Nguyen Pham Nguyen The
Show author detailsRolesAuthorLong Bui Thanh
Show author detailsRolesAuthorTuyen Huynh
Show author detailsRolesAuthor
Insights
Last 30 days
Last 365 days
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Data provided by CRAN
Binaries
Dependencies
- Imports13 packages
- Suggests5 packages
- Linking To6 packages