Code for modelling estimated deaths and cases for COVID19
source link: https://github.com/ImperialCollegeLondon/covid19model
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covid19model
Code for modelling estimated deaths and cases for COVID19.
This repository has code for replication purposes. The bleeding edge code and advancements are done in a private repository. Ask report authors for any collaborations.
Installing dependencies
Using Conda
An environment.yml
file is provided and can be used to build a virtual
environment containing all model dependencies. Create the environment using:
conda env create -f environment.yml
Then activate the environment for use:
conda activate covid19model
Using Docker
All dependencies for the model can be provided by building a Docker image. Please note that using this method separate instructions are required to run the model - see details .
Other
If you wish to install packages into your native R environment or with a system
package manager please see environment.yml
for a full list of dependencies.
How to run the code
There are two ways to run our code:-
- Open the rstudio project covid19model.Rproj file in rstudio and run/source base.r file
- To run from commandline please enter the cloned directory and type 'Rscript base.r base' in terminal
- The results are stored in two folders results and figures.
- Results has the stored stan fits and data used for plotting
- Figures have the images with daily cases, daily death and Rt for all countries.
Please note to not make you wait for long we have by default run sampling for short period. To be comparable with report please uncomment the line 206 and comment out line 207. This will run sampling for 4000 iterations with 2000 warmups and 4 chains.
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