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SeasEpi  

Spatiotemporal Modeling of Seasonal Infectious Disease
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("SeasEpi", "0.0.3")



Attach the package and use:
library("SeasEpi")
Maintained by
Amin Abed
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2025-06-06
Latest Update: 2025-07-19
Description:
Spatiotemporal individual-level model of seasonal infectious disease transmission within the Susceptible-Exposed-Infectious-Recovered-Susceptible (SEIRS) framework are applied to model seasonal infectious disease transmission. This package employs a likelihood based Monte Carlo Expectation Conditional Maximization (MCECM) algorithm for estimating model parameters. In addition to model fitting and parameter estimation, the package offers functions for calculating AIC using real pandemic data and conducting simulation studies customized to user-specified model configurations.
How to cite:
Amin Abed (2025). SeasEpi: Spatiotemporal Modeling of Seasonal Infectious Disease. R package version 0.0.3, https://cran.r-project.org/web/packages/SeasEpi. Accessed 08 Jun. 2026.
Previous versions and publish date:
0.0.1 (2025-06-06 15:00), 0.0.2 (2025-07-19 20:10)
Other packages that cited SeasEpi R package
View SeasEpi citation profile
Other R packages that SeasEpi depends, imports, suggests or enhances
Complete documentation for SeasEpi
Functions, R codes and Examples using the SeasEpi R package
Full SeasEpi package functions and examples
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