Package: EpiILMCT 1.1.7
Waleed Almutiry
EpiILMCT: Continuous Time Distance-Based and Network-Based Individual Level Models for Epidemics
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. <doi:10.18637/jss.v098.i10>.
Authors:
EpiILMCT_1.1.7.tar.gz
EpiILMCT_1.1.7.tar.gz(r-4.5-noble)EpiILMCT_1.1.7.tar.gz(r-4.4-noble)
EpiILMCT.pdf |EpiILMCT.html✨
EpiILMCT/json (API)
| # Install 'EpiILMCT' in R: |
| install.packages('EpiILMCT', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/waleedalmutiry/epiilmct/issues
- NetworkData - Simulated epidemic data set from a network-based SIR ILM
- NetworkDataSINR - Simulated epidemic data set from a network-based SINR ILM
- SpatialData - Simulated epidemic data set from a distance-based SIR ILM
- SpatialNetData - Simulated epidemic data set from a distance and network-based SIR ILM
- tswv - Tomato Spotted Wilt Virus data
Last updated 3 years agofrom:df8618b036. Checks:OK: 1 NOTE: 1. Indexed: no.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Oct 31 2024 |
| R-4.5-linux-x86_64 | NOTE | Oct 31 2024 |
Exports:as.epidatcontactnetdatagenepictmcmcloglikelihoodepiILM
Dependencies:clicodacpp11glueigraphlatticelifecyclemagrittrMatrixpkgconfigrlangvctrs
