Package: GDILM.SEIRS 0.0.3

Amin Abed

GDILM.SEIRS: Spatial 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 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.

Authors:Amin Abed [aut, cre, cph], Mahmoud Torabi [ths], Zeinab Mashreghi [ths]

GDILM.SEIRS_0.0.3.tar.gz
GDILM.SEIRS_0.0.3.tar.gz(r-4.5-noble)GDILM.SEIRS_0.0.3.tar.gz(r-4.4-noble)
GDILM.SEIRS_0.0.3.tgz(r-4.4-emscripten)GDILM.SEIRS_0.0.3.tgz(r-4.3-emscripten)
GDILM.SEIRS.pdf |GDILM.SEIRS.html✨
GDILM.SEIRS/json (API)

# Install 'GDILM.SEIRS' in R:
install.packages('GDILM.SEIRS', repos = 'https://cloud.r-project.org')
Datasets:

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.30 score 193 downloads 2 exports 6 dependencies

Last updated 3 months agofrom:b87a5e397e. Checks:3 OK. Indexed: no.

TargetResultLatest binary
Doc / VignettesOKMar 15 2025
R-4.5-linuxOKMar 15 2025
R-4.4-linuxOKMar 15 2025

Exports:GDILM_SEIRS_Par_EstGDILM_SEIRS_Sim_Par_Est

Dependencies:batchmeansMASSmvtnormngspatialRcppRcppArmadillo

Citation

To cite package ‘GDILM.SEIRS’ in publications use:

Abed A (2025). GDILM.SEIRS: Spatial Modeling of Infectious Disease with Reinfection. R package version 0.0.3, https://CRAN.R-project.org/package=GDILM.SEIRS.

Corresponding BibTeX entry: 

  @Manual{,
    title = {GDILM.SEIRS: Spatial Modeling of Infectious Disease with
      Reinfection},
    author = {Amin Abed},
    year = {2025},
    note = {R package version 0.0.3},
    url = {https://CRAN.R-project.org/package=GDILM.SEIRS},
  }

Readme and manuals

Help Manual

Help pageTopics
Hypothetical Datasetsadjacency_matrix data
GDILM SEIRS for Real DataGDILM_SEIRS_Par_Est
GDILM SEIRS for a Simulation StudyGDILM_SEIRS_Sim_Par_Est