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:Waleed Almutiry [aut, cre], Rob Deardon [aut, ths], Vineetha Warriyar K. V. [ctb]

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'))

Peer review:

Bug tracker:https://github.com/waleedalmutiry/epiilmct/issues

Uses libs:
  • fortran– Runtime library for GNU Fortran applications
Datasets:
  • 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

1.18 score 1 stars 15 scripts 224 downloads 5 exports 12 dependencies

Last updated 3 years agofrom:df8618b036. Checks:OK: 1 NOTE: 1. Indexed: no.

TargetResultDate
Doc / VignettesOKSep 19 2024
R-4.5-linux-x86_64NOTESep 19 2024

Exports:as.epidatcontactnetdatagenepictmcmcloglikelihoodepiILM

Dependencies:clicodacpp11glueigraphlatticelifecyclemagrittrMatrixpkgconfigrlangvctrs