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:María Luz Gámiz [aut, cph], Enno Mammen [aut, cph], María Dolores Martínez-Miranda [aut, cre, cph], Jens Perch Nielsen [aut, cph]

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'))

Peer review:

Datasets:
  • 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.

1.00 score 205 downloads 6 exports 0 dependencies

Last updated 3 months agofrom:b5f808cd99. Checks:OK: 2. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 06 2024
R-4.5-linuxOKNov 06 2024

Exports:forecastinghazard2Dhazard2Dmissmedtimepoutcomerate2Dmiss

Dependencies: