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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>.

Version:	1.1.0
Depends:	R (≥ 3.4.0)
Imports:	deSolve,dplyr,ggplot2,locfit,purrr,stringr,magrittr, methods,mgcv,mixdist,patchwork,assertthat,Rcpp (≥0.12.0),RcppParallel (≥ 5.0.1),rstan (≥ 2.18.1),rstantools (≥ 2.4.0),boot, stats4
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)
Suggests:	covr,knitr,rmarkdown,bookdown,testthat (≥ 3.0.0)
Published:	2025-04-09
DOI:	10.32614/CRAN.package.serosv
Author:	Anh Phan Truong Quynh [aut, cre], Nguyen Pham Nguyen The [aut], Long Bui Thanh [aut], Tuyen Huynh [aut], Thinh Ong [aut], Marc Choisy [aut]
Maintainer:	Anh Phan Truong Quynh <anhptq at oucru.org>
BugReports:	https://github.com/OUCRU-Modelling/serosv/issues
License:	MIT + fileLICENSE
URL:	https://oucru-modelling.github.io/serosv/,https://github.com/OUCRU-Modelling/serosv
NeedsCompilation:	yes
SystemRequirements:	GNU make
Materials:	README,NEWS
CRAN checks:	serosv results

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