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GDILM.SEIRS  

Spatial Modeling of Infectious Disease with Reinfection
View on CRAN: Click here


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

Install from Github:
library("remotes")
install_github("cran/GDILM.SEIRS")

Install by package version:
library("remotes")
install_version("GDILM.SEIRS", "0.0.2")



Attach the package and use:
library("GDILM.SEIRS")
Maintained by
Amin Abed
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2024-12-05
Latest Update: 2024-12-08
Description:
Geographically Dependent Individual Level Models (GDILMs) within the Susceptible-Exposed-Infectious-Recovered-Susceptible (SEIRS) framework are applied to model infectious disease transmission, incorporating reinfection dynamics. This package employs a likelihood based Monte Carlo Expectation Conditional Maximization (MCECM) algorithm for estimating model parameters. It also provides tools for GDILM fitting, parameter estimation, AIC calculation on real pandemic data, and simulation studies customized to user-defined model settings.
How to cite:
Amin Abed (2024). GDILM.SEIRS: Spatial Modeling of Infectious Disease with Reinfection. R package version 0.0.2, https://cran.r-project.org/web/packages/GDILM.SEIRS. Accessed 21 Dec. 2024.
Previous versions and publish date:
0.0.1 (2024-12-05 19:40)
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