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:Paolo Berta [aut], Paolo Paruolo [aut, cre], Stefano Verzillo [ctb], Pietro Giorgio Lovaglio [ctb]

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)

Peer review:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

20 exports 0.23 score 4 dependencies 1 mentions 3 scripts 250 downloads

Last updated 3 years agofrom:ebbdf7c913. Checks:OK: 1 NOTE: 1. Indexed: yes.

Exports:crossingdiffeec.companionec.datadet1ec.datadet2ec.datalagec.EG1ec.gfdec.gflec.gfldec.ifpec.mainec.plotforec.plotrootsec.predictec.searchbreakslagnlistsizemlsWald.mls

Dependencies:cpp11genericslubridatetimechange