This code is maintained for legacy purposes. For new projects requiring constrained optimisation I highly recommend the ompr R package
:warning: This code is released with no support. Please submit any questions or bugs as issues and we will try to address them as quickly as possible.
:warning: This code is under active development and so parameter names and behaviours will change without notice.
Coop is a generalised heuristic for budget constrained optimisations using simulated annealing. You can use coop to search for optimal combinations of scenarios (e.g. intervention mixes across districts) which minimise a target outcome (e.g. cases). Optimal outcomes can be budget constrained at multiple levels (e.g. the solution must comply with global and country budgets).
You can install coop from github with:
# install.packages("remotes")
remotes::install_github("mrc-ide/coop")
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