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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: 1.0.1
Depends: R (≥ 3.4.0)
Imports: deSolve, dplyr, ggplot2, locfit, magrittr, methods, mgcv, mixdist, patchwork, 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: 2024-10-18
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 ORCID iD [aut], Marc Choisy ORCID iD [aut]
Maintainer: Anh Phan Truong Quynh <anhptq at oucru.org>
BugReports: https://github.com/OUCRU-Modelling/serosv/issues
License: MIT + file LICENSE
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

Documentation:

Reference manual: serosv.pdf
Vignettes: Data transformation (source, R code)
Hierarchical Bayesian models (source, R code)
Modeling directly from antibody levels (source, R code)
Nonparametric model (source, R code)
Parametric models (source, R code)
Semiparametric model (source, R code)
SIR model (source, R code)
Model visualization (source, R code)

Downloads:

Package source: serosv_1.0.1.tar.gz
Windows binaries: r-devel: serosv_1.0.1.zip, r-release: serosv_1.0.1.zip, r-oldrel: serosv_1.0.1.zip
macOS binaries: r-release (arm64): serosv_1.0.1.tgz, r-oldrel (arm64): serosv_1.0.1.tgz, r-release (x86_64): serosv_1.0.1.tgz, r-oldrel (x86_64): serosv_1.0.1.tgz
Old sources: serosv archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=serosv to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.