Package: EpiILMCT 1.1.6

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. An overview of the implemented continuous-time individual level models for epidemics is given by Almutiry and Deardon (2019) <doi:10.1515/ijb-2017-0092>.

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

EpiILMCT_1.1.6.tar.gz
EpiILMCT_1.1.6.zip(r-4.7-x86_64)EpiILMCT_1.1.6.zip(r-4.7-arm64)EpiILMCT_1.1.6.zip(r-4.6-x86_64)EpiILMCT_1.1.6.zip(r-4.6-arm64)EpiILMCT_1.1.6.zip(r-4.5-x86_64)
EpiILMCT_1.1.6.tgz(r-4.6-x86_64)EpiILMCT_1.1.6.tgz(r-4.6-arm64)EpiILMCT_1.1.6.tgz(r-4.5-x86_64)EpiILMCT_1.1.6.tgz(r-4.5-arm64)
EpiILMCT_1.1.6.tar.gz(r-4.7-arm64)EpiILMCT_1.1.6.tar.gz(r-4.7-x86_64)EpiILMCT_1.1.6.tar.gz(r-4.6-arm64)EpiILMCT_1.1.6.tar.gz(r-4.6-x86_64)
EpiILMCT_1.1.6.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
EpiILMCT/json (API)

# Install 'EpiILMCT' in R:
install.packages('EpiILMCT', repos = c('https://epiverse-connect.r-universe.dev', 'https://cloud.r-project.org'))

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

On CRAN:

Conda:

bayesian-inferencedistanceepidemic-dataepidemicsinfectious-disease-modelskerneltypenetworkplotsfortranglibc

2.65 score 6 stars 15 scripts 71 downloads 5 exports 12 dependencies

Last updated from:63037c99e9. Checks:12 NOTE, 2 OK, 1 WARNING. Indexed: no.

TargetResultTimeFilesSyslog
linux-devel-arm64NOTE136
linux-devel-x86_64NOTE164
source / vignettesOK179
linux-release-arm64NOTE135
linux-release-x86_64NOTE171
macos-release-arm64NOTE123
macos-release-x86_64NOTE285
macos-oldrel-arm64NOTE114
macos-oldrel-x86_64NOTE225
windows-devel-arm64NOTE201
windows-devel-x86_64NOTE117
windows-release-arm64WARNING213
windows-release-x86_64NOTE96
windows-oldrel-x86_64NOTE79
wasm-releaseOK130

Exports:as.epidatcontactnetdatagenepictmcmcloglikelihoodepiILM

Dependencies:clicodacpp11glueigraphlatticelifecyclemagrittrMatrixpkgconfigrlangvctrs