Posterior Predictive Forecasting | Model Selection
Package: EpiILM 1.5.2
EpiILM: Spatial and Network Based Individual Level Models for Epidemics
Provides tools for simulating from discrete-time individual level models for infectious disease data analysis. This epidemic model class contains spatial and contact-network based models with two disease types: Susceptible-Infectious (SI) and Susceptible-Infectious-Removed (SIR).
Authors:
EpiILM_1.5.2.tar.gz
EpiILM_1.5.2.zip(r-4.7-x86_64)EpiILM_1.5.2.zip(r-4.7-arm64)EpiILM_1.5.2.zip(r-4.6-x86_64)EpiILM_1.5.2.zip(r-4.6-arm64)EpiILM_1.5.2.zip(r-4.5-x86_64)
EpiILM_1.5.2.tgz(r-4.6-x86_64)EpiILM_1.5.2.tgz(r-4.6-arm64)EpiILM_1.5.2.tgz(r-4.5-x86_64)EpiILM_1.5.2.tgz(r-4.5-arm64)
EpiILM_1.5.2.tar.gz(r-4.7-arm64)EpiILM_1.5.2.tar.gz(r-4.7-x86_64)EpiILM_1.5.2.tar.gz(r-4.6-arm64)EpiILM_1.5.2.tar.gz(r-4.6-x86_64)
EpiILM_1.5.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
EpiILM/json (API)
| # Install 'EpiILM' in R: |
| install.packages('EpiILM', repos = c('https://waleedalmutiry.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/waleedalmutiry/epiilm/issues
Datasets:
- tswv - Tomato Spotted Wilt Virus (TSWV) data
Last updated from:a22caac0e2. Checks:12 NOTE, 2 OK, 1 WARNING. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-arm64 | NOTE | 130 | ||
| linux-devel-x86_64 | NOTE | 153 | ||
| source / vignettes | OK | 269 | ||
| linux-release-arm64 | NOTE | 126 | ||
| linux-release-x86_64 | NOTE | 136 | ||
| macos-release-arm64 | NOTE | 101 | ||
| macos-release-x86_64 | NOTE | 317 | ||
| macos-oldrel-arm64 | NOTE | 139 | ||
| macos-oldrel-x86_64 | NOTE | 345 | ||
| windows-devel-arm64 | NOTE | 213 | ||
| windows-devel-x86_64 | NOTE | 163 | ||
| windows-release-arm64 | WARNING | 193 | ||
| windows-release-x86_64 | NOTE | 130 | ||
| windows-oldrel-x86_64 | NOTE | 106 | ||
| wasm-release | OK | 107 |
Exports:as.epidataepiBR0epidataepidicepilikeepimcmcpred.epi
Dependencies:adaptMCMCcodaLaplacesDemonlatticeMatrixramcmcRcppRcppArmadillo
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| 'EpiILM': Spatial and Network Based Individual Level Models for Epidemics | EpiILM-package EpiILM |
| Discrete Time level information of an Epidemic | as.epidata |
| Basic reproduction number (R0) | epiBR0 |
| Simulates epidemic for the specified model type and parameters | epidata |
| Deviance Information Criterion (DIC) | epidic |
| Calculates the log likelihood | epilike |
| Monte Carlo Simulation | epimcmc |
| S3 method to provide some graphics of epidemic. | plot.epidata |
| Plot the output of 'epimcmc' object | plot.epimcmc |
| S3 method to provide plots of posterior predictive check. | plot.pred.epi |
| Posterior predictive check. | pred.epi |
| Summary method for 'epimcmc' objects | summary.epimcmc |
| Tomato Spotted Wilt Virus (TSWV) data | tswv |