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This is a fixed repository with the DICE version used in manuscript "Accurate influenza forecasts using type-specific incidence data for small geographical units".
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README.md

DICE

An R package for modeling and forecasting direct-contact and vector-borne infectious diseases.

DICE Installation Instructions

Using 'devtools' in an R console

> library(devtools)
> install_git(url="https://github.com/predsci/DICE_quidel_manuscript", subdir="dice")

NOTE: This method is convenient, but it may still be worthwhile to download the repository (see next subsection) to a user directory. The scripts in examples/ directory and the manual (dice/vignettes/dice.pdf) are quite useful.

Manually from command line

Navigate to your preferred directory

$ cd mydir

Download the repository from GitHub (requires git command line tools)

$ git clone https://github.com/predsci/DICE_quidel_manuscript.git

Navigate into the local repo directory

$ cd DICE_quidel_manuscript

Use python script to compile from source

$ ./compile.py

NOTE: If you do not wish to or cannot install DICE globally, it can also be installed to a local R-library using 'R CMD build dice' and 'R CMD INSTALL -l /my_lib_loc dice'

Getting Started

If you were referred here from the manuscript 'Accurate influenza forecasts using type-specific incidence data for small geographical units', see the example script examples/Quidel_Manuscript.R to reproduce results.
In general, the scripts in examples/ are a good way to get started and the manual dice/vignettes/dice.pdf contains much more detailed information along with some walk-throughs. Help pages for DICE and runDICE are also good starting points:

> library(DICE)
> ?DICE
> ?runDICE

Data Access

Most of the data that DICE works with is publicly available. To get a copy of the data from 'Accurate influenza forecasts using type-specific incidence data for small geographical units', email jturtle at predsci.com or s.riley at imperial.ac.uk . In most cases this data is freely available for non-profit pursuits.

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