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-4.7-any)cif_0.1.1.tar.gz(r-4.6-any)
cif_0.1.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
cif/json (API)

# Install 'cif' in R:
install.packages('cif', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))
Datasets:
  • iculomb - Data from Italian Civil Protection

On CRAN:

Conda:

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

1.00 score 5 scripts 276 downloads 1 mentions 20 exports 4 dependencies

Last updated from:ebbdf7c913. Checks:2 NOTE, 2 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64NOTE130
source / vignettesOK166
linux-release-x86_64NOTE117
wasm-releaseOK101

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

Dependencies:cpp11genericslubridatetimechange