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serosv  

Model Infectious Disease Parameters from Serosurveys
View on CRAN: Click here


Download and install serosv package within the R console
Install from CRAN:
install.packages("serosv")

Install from Github:
library("remotes")
install_github("cran/serosv")

Install by package version:
library("remotes")
install_version("serosv", "1.0.1")



Attach the package and use:
library("serosv")
Maintained by
Anh Phan Truong Quynh
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2024-10-07
Latest Update: 2024-10-18
Description:
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>.
How to cite:
Anh Phan Truong Quynh (2024). serosv: Model Infectious Disease Parameters from Serosurveys. R package version 1.0.1, https://cran.r-project.org/web/packages/serosv. Accessed 21 Nov. 2024.
Previous versions and publish date:
1.0.0 (2024-10-07 11:20)
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