Package: pandemics 0.1.0
María Dolores Martínez-Miranda
pandemics: Monitoring a Developing Pandemic with Available Data
Full dynamic system to describe and forecast the spread and the severity of a developing pandemic, based on available data. These data are number of infections, hospitalizations, deaths and recoveries notified each day. The system consists of three transitions, infection-infection, infection-hospital and hospital-death/recovery. The intensities of these transitions are dynamic and estimated using non-parametric local linear estimators. The package can be used to provide forecasts and survival indicators such as the median time spent in hospital and the probability that a patient who has been in hospital for a number of days can leave it alive. Methods are described in Gámiz, Mammen, Martínez-Miranda, and Nielsen (2024) <doi:10.48550/arXiv.2308.09918> and <doi:10.48550/arXiv.2308.09919>.
Authors:
pandemics_0.1.0.tar.gz
pandemics_0.1.0.tar.gz(r-4.5-noble)pandemics_0.1.0.tar.gz(r-4.4-noble)
pandemics_0.1.0.tgz(r-4.4-emscripten)pandemics_0.1.0.tgz(r-4.3-emscripten)
pandemics.pdf |pandemics.html✨
pandemics/json (API)
# Install 'pandemics' in R: |
install.packages('pandemics', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
- covid - COVID-19 Outbreak Data in France
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 2 months agofrom:b5f808cd99. Checks:OK: 2. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 06 2024 |
R-4.5-linux | OK | Nov 06 2024 |
Exports:forecastinghazard2Dhazard2Dmissmedtimepoutcomerate2Dmiss
Dependencies: