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EpiILMCT  

Continuous Time Distance-Based and Network-Based Individual Level Models for Epidemics
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("EpiILMCT", "1.1.8")



Attach the package and use:
library("EpiILMCT")
Maintained by
Waleed Almutiry
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2017-12-07
Latest Update:
Description:
Provides tools for simulating from continuous-time individual level models of disease transmission, and carrying out infectious disease data analyses with the same models. The epidemic models considered are distance-based and/or contact network-based models within Susceptible-Infectious-Removed (SIR) or Susceptible-Infectious-Notified-Removed (SINR) compartmental frameworks. .
How to cite:
Waleed Almutiry (2017). EpiILMCT: Continuous Time Distance-Based and Network-Based Individual Level Models for Epidemics. R package version 1.1.8, https://cran.r-project.org/web/packages/EpiILMCT. Accessed 06 Aug. 2026.
Previous versions and publish date:
1.0 (2017-12-07 11:03), 1.1.2 (2018-03-28 10:18), 1.1.3 (2019-04-17 12:00), 1.1.4 (2019-10-13 22:50), 1.1.5 (2019-12-12 23:20), 1.1.6 (2020-01-21 11:30), 1.1.7 (2021-06-29 08:10), 1.1.8 (2025-09-24 00:40), 1.1 (2018-03-22 06:21), (2026-07-09 08:03)
Other packages that cited EpiILMCT R package
View EpiILMCT citation profile
Other R packages that EpiILMCT depends, imports, suggests or enhances
Complete documentation for EpiILMCT
Functions, R codes and Examples using the EpiILMCT R package
Some associated functions: NetworkData . NetworkDataSINR . SpatialData . SpatialNetData . as.datagen . contactnet . datagen . epictmcmc . loglikelihoodepiILM . plot.contactnet . plot.datagen . plot.epictmcmc . print.epictmcmc . summary.epictmcmc . tswv . 
Some associated R codes: Full EpiILMCT package functions and examples
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