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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 [aut], Marc Choisy [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 |
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) |
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 |
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.
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