Nothing
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>.
Package details |
|
|---|---|
| Author | Anh Phan Truong Quynh [aut, cre], Nguyen Pham Nguyen The [aut], Long Bui Thanh [aut], Tuyen Huynh [aut], Thinh Ong [aut] (<https://orcid.org/0000-0001-6772-9291>), Marc Choisy [aut] (<https://orcid.org/0000-0002-5187-6390>) |
| Maintainer | Anh Phan Truong Quynh <anhptq@oucru.org> |
| License | MIT + file LICENSE |
| Version | 1.0.1 |
| URL | https://oucru-modelling.github.io/serosv/ https://github.com/OUCRU-Modelling/serosv |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
|
Try the serosv package in your browser
Any scripts or data that you put into this service are public.
