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 counts in Berlin using the multivariate time-series model "hhh4" from 'surveillance'.

Getting started

Package details

Maintainer
LicenseGPL (>= 2)
Version1.0.0
URL https://HIDDA.github.io/forecasting https://github.com/HIDDA/forecasting
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("devtools")
library(devtools)
install_github("HIDDA/forecasting")
HIDDA/forecasting documentation built on Sept. 23, 2018, 6:32 p.m.