Imperial College London’s next malaria simulation. The main goals are make an extensible, maintainable and fast simulation to evaluate and report on malaria intervention strategies.
The model is defined in this package, whereas the simulation is executed using the individual package.
Please note, malariasimulation is only compatible with R >= 4.0.0
You can install the binary package on Windows and Mac using the following command:
# Enable this universe options(repos = c( mrcide = 'https://mrc-ide.r-universe.dev', CRAN = 'https://cloud.r-project.org')) # Install some packages install.packages('malariasimulation')
The package can also be installed from github using the “remotes” library. Note, this method requires RBuildTools
For development it is most convenient to run the code from source. You can install the dependencies in RStudio by opening the project and selecting “Build” > “Install and Restart”
Command line users can execute:
library('remotes') install_deps('.', dependencies = TRUE)
Docker users can achieve the same with one line
To run the malaria simulation with the default parameters for 100 timesteps, you can execute the following code:
library('malariasimulation') output <- run_simulation(100)
model.R - is the entry point for the model. It creates the different components and passes them to the
individual package for simulation.
variables.R - contains the specific variables we track for each individual.
processes.R - defines the changes in individuals over time. It collects process functions from “infection.R”, “mosquito_emergence.R” and “mortality.R”
tests - are divided into unit and integration tests. Integration tests are strongly recommended for large process functions and unit tests for model calculations.
Pull requests are welcome. For major changes, please open an issue first to discuss what you would like to change.
Please make sure to update tests and documentation as appropriate.
Code reviews will be carried out in-line with RESIDE-IC’s review process