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R package to implement and visualize several epidemiological forecasting methods.
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lcbrooks Fix hospitalization multibin radii off-by-one error
The first hospitalization rate bin is 0.0, not 0.1; fix resulting off-by-one
errors in the multibin radius calculations. For example, fix the multibin radius
for the rate of 1.4 (which is currently calculated as if it were 1.5 instead).
Latest commit aef80d8 Aug 13, 2019
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demo Update demo.R: add notes on how to load packages with devtools May 13, 2019
epiforecast.cpp14funs Update NAMESPACE's to reflect previous change Oct 15, 2018
epiforecast Fix hospitalization multibin radii off-by-one error Aug 13, 2019
sample Add multibin score analysis to main forecasting script May 13, 2019
scratch Update pancast visualization May 13, 2019
.gitignore Add, use fixup for wILI_Baseline.csv Oct 23, 2018
LICENSE
LICENSE_notes Use simplify2arrayp fix for simplify2array (for some R versions) Jul 28, 2018
README.md Improved README Jan 9, 2017
epiforecast.pdf Copied over from bitbucket epiforecast repo Jan 9, 2017
epiforecast_0.0.1.tar.gz Update epiforecast_0.0.1.tar.gz Jul 26, 2017

README.md

Summary

R package that implements several methods for epidemiological forecasting empirical bayes (EB), basis regression (BR), and time-weighted kernel density estimation (twkde).

Installation

On mac or linux command line:

R CMD INSTALL epiforecast

or run the following in R:

devtools::install_github("cmu-delphi/epiforecast-R", subdir="epiforecast")

Tests

Run code in demo/demo.R

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