GDILM.SEIRS
cranv0.0.6Spatial Modeling of Infectious Disease with Reinfection. 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 Condit
License MIT + file LICENSE0 versions1 maintainers4 deps57 weekly dl
https://CRAN.R-project.org/package=GDILM.SEIRS47
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curl https://depscope.dev/api/check/cran/GDILM.SEIRSFirst published · 2026-02-16 01:42:10
Last updated · 2026-02-13T07:20:07+00:00