Package: bets.covid19 1.0.0
Qingyuan Zhao
bets.covid19: The BETS Model for Early Epidemic Data
Implements likelihood inference for early epidemic analysis. BETS is short for the four key epidemiological events being modeled: Begin of exposure, End of exposure, time of Transmission, and time of Symptom onset. The package contains a dataset of the trajectory of confirmed cases during the coronavirus disease (COVID-19) early outbreak. More detail of the statistical methods can be found in Zhao et al. (2020) <arxiv:2004.07743>.
Authors:
bets.covid19_1.0.0.tar.gz
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bets.covid19.pdf |bets.covid19.html✨
bets.covid19/json (API)
| # Install 'bets.covid19' in R: |
| install.packages('bets.covid19', repos = c('https://epiverse-connect.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/qingyuanzhao/bets.covid19/issues
- covid19_data - Confirmed cases of COVID-19
- wuhan_exported - COVID-19 exported from Wuhan
Last updated 4 years agofrom:b9ad1400d0. Checks:OK: 7. Indexed: no.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 09 2024 |
| R-4.5-win | OK | Nov 09 2024 |
| R-4.5-linux | OK | Nov 09 2024 |
| R-4.4-win | OK | Nov 09 2024 |
| R-4.4-mac | OK | Nov 09 2024 |
| R-4.3-win | OK | Nov 09 2024 |
| R-4.3-mac | OK | Nov 09 2024 |
Exports:age.processbets.inferencebets.likelihooddate.processpreprocess.data
Dependencies:rootSolve
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Processing age to print its distribution | age.process |
| A package for analyzing early epidemic data | bets.covid19 |
| Likelihood inference | bets.inference |
| (Profile) Likelihood function | bets.likelihood |
| Confirmed cases of COVID-19 | covid19_data |
| Transform date to numeric | date.process |
| Prepare data frame for analysis | preprocess.data |
| COVID-19 exported from Wuhan | wuhan_exported |