Package: cif 0.1.1
Paolo Paruolo
cif: Cointegrated ICU Forecasting
Set of forecasting tools to predict ICU beds using a Vector Error Correction model with a single cointegrating vector. Method described in Berta, P. Lovaglio, P.G. Paruolo, P. Verzillo, S., 2020. "Real Time Forecasting of Covid-19 Intensive Care Units demand" Health, Econometrics and Data Group (HEDG) Working Papers 20/16, HEDG, Department of Economics, University of York, <https://www.york.ac.uk/media/economics/documents/hedg/workingpapers/2020/2016.pdf>.
Authors:
cif_0.1.1.tar.gz
cif_0.1.1.tar.gz(r-4.5-noble)cif_0.1.1.tar.gz(r-4.4-noble)
cif_0.1.1.tgz(r-4.4-emscripten)cif_0.1.1.tgz(r-4.3-emscripten)
cif.pdf |cif.html✨
cif/json (API)
# Install 'cif' in R: |
install.packages('cif', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
- iculomb - Data from Italian Civil Protection
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 3 years agofrom:ebbdf7c913. Checks:OK: 1 NOTE: 1. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Dec 24 2024 |
R-4.5-linux | NOTE | Dec 24 2024 |
Exports:crossingdiffeec.companionec.datadet1ec.datadet2ec.datalagec.EG1ec.gfdec.gflec.gfldec.ifpec.mainec.plotforec.plotrootsec.predictec.searchbreakslagnlistsizemlsWald.mls
Dependencies:cpp11genericslubridatetimechange