Package: HIDDA.forecasting 1.1.3

Sebastian Meyer

HIDDA.forecasting: Forecasting Based on Surveillance Data

The Handbook of Infectious Disease Data Analysis ("HIDDA") contains a chapter on "Forecasting Based on Surveillance Data". The R package 'HIDDA.forecasting' provides the data and code to reproduce results from the two applications described in that chapter (see the corresponding vignettes): Univariate forecasting of Swiss ILI counts using 'forecast', 'glarma', 'surveillance' and 'prophet', and an age-stratified analysis of norovirus gastroenteritis in Berlin using the multivariate time-series model implemented in surveillance::hhh4().

Authors:Sebastian Meyer [aut, cre], Leonhard Held [ctb]

HIDDA.forecasting_1.1.3.tar.gz
HIDDA.forecasting_1.1.3.zip(r-4.7)HIDDA.forecasting_1.1.3.zip(r-4.6)HIDDA.forecasting_1.1.3.zip(r-4.5)
HIDDA.forecasting_1.1.3.tgz(r-4.6-any)HIDDA.forecasting_1.1.3.tgz(r-4.5-any)
HIDDA.forecasting_1.1.3.tar.gz(r-4.7-any)HIDDA.forecasting_1.1.3.tar.gz(r-4.6-any)
HIDDA.forecasting_1.1.3.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
HIDDA.forecasting/json (API)

# Install 'HIDDA.forecasting' in R:
install.packages('HIDDA.forecasting', repos = c('https://ee-lib.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/hidda/forecasting/issues

Pkgdown/docs site:https://hidda.github.io

Datasets:
  • CHILI - Swiss Surveillance Data on Influenza Like Illness, 2000-2016

On CRAN:

Conda:

forecastinginfectious-diseasestime-series

4.02 score 3 stars 3 scripts 11 exports 11 dependencies

Last updated from:97d197e0ee. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK192
source / vignettesOK333
linux-release-x86_64OK197
macos-release-arm64OK121
macos-oldrel-arm64OK112
windows-develOK133
windows-releaseOK119
windows-oldrelOK104
wasm-releaseOK196

Exports:autoplot.zoodhhh4simsdnbmixfortify.zooindexlogs_hhh4simslogs_nbmixosaplotscores_lnormscores_lnorm_discretescores_sample

Dependencies:evaluatehighrknitrlatticeMASSRcppRcppArmadilloscoringRulesxfunyamlzoo

Forecasting age-stratified norovirus gastroenteritis counts using surveillance::hhh4
Data | Berlin norovirus counts | Age-structured contact matrix | Modelling | One-week-ahead forecasts
Rendered fromBNV.Rmdusingknitr::rmarkdown

Last update: 2023-11-29
Started: 2018-01-18

Forecasting Swiss ILI counts using surveillance::hhh4
Modelling | One-week-ahead forecasts | Long-term forecasts | Example with the first test period | For all test periods
Rendered fromCHILI_hhh4.Rmdusingknitr::rmarkdown

Last update: 2023-11-29
Started: 2017-09-27

Forecasting Swiss ILI counts using forecast::auto.arima
Modelling | One-week-ahead forecasts | Long-term forecasts
Rendered fromCHILI_arima.Rmdusingknitr::rmarkdown

Last update: 2023-11-08
Started: 2017-09-27

Forecasting Swiss ILI counts using glarma::glarma
Modelling | One-week-ahead forecasts | Long-term forecasts
Rendered fromCHILI_glarma.Rmdusingknitr::rmarkdown

Last update: 2023-11-08
Started: 2017-11-24

Forecasting Swiss ILI counts using prophet::prophet
Modelling | One-week-ahead forecasts | Long-term forecasts
Rendered fromCHILI_prophet.Rmdusingknitr::rmarkdown

Last update: 2023-11-08
Started: 2017-09-27

Forecasting Swiss ILI counts using simple log-normals by calendar week
One-week-ahead forecasts | Long-term forecasts
Rendered fromCHILI_naive.Rmdusingknitr::rmarkdown

Last update: 2019-03-29
Started: 2018-07-25

Swiss ILI surveillance counts
Rendered fromCHILI.Rmdusingknitr::rmarkdown

Last update: 2017-11-20
Started: 2017-09-18