The 'EpiSimR' package provides an interactive 'shiny' app based on deterministic compartmental mathematical modeling for simulating and visualizing the dynamics of epidemic and endemic disease spread. It allows users to explore various intervention strategies, including vaccination and isolation, by adjusting key epidemiological parameters. The methodology follows the approach described by Brauer (2008) <doi:10.1007/978-3-540-78911-6_2>. Thanks to 'shiny' package.
Version: | 1.1 |
Depends: | R (≥ 4.1.1), shiny (≥ 1.10.0), deSolve (≥ 1.40), openxlsx (≥ 4.2.8) |
Imports: | dplyr, DT, shinythemes |
Suggests: | knitr, rmarkdown, testthat (≥ 3.0.0) |
Published: | 2025-02-25 |
DOI: | 10.32614/CRAN.package.EpiSimR |
Author: | Nassim AYAD |
Maintainer: | Nassim AYAD <nassim.ayad.ph at gmail.com> |
License: | GPL (≥ 3) |
NeedsCompilation: | no |
Materials: | README |
CRAN checks: | EpiSimR results |
Reference manual: | EpiSimR.pdf |
Vignettes: |
Introduction to 'EpiSimR' (source, R code) |
Package source: | EpiSimR_1.1.tar.gz |
Windows binaries: | r-devel: not available, r-release: not available, r-oldrel: not available |
macOS binaries: | r-devel (arm64): EpiSimR_1.1.tgz, r-release (arm64): EpiSimR_1.1.tgz, r-oldrel (arm64): EpiSimR_1.1.tgz, r-devel (x86_64): EpiSimR_1.1.tgz, r-release (x86_64): EpiSimR_1.1.tgz, r-oldrel (x86_64): EpiSimR_1.1.tgz |
Please use the canonical form https://CRAN.R-project.org/package=EpiSimR to link to this page.