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Showing content from https://github.com/idem-lab/map-ir-pipeline below:

idem-lab/map-ir-pipeline: Prototype demonstration of stacked generalisation method used in https://journals.plos.org/plosbiology/article?id=10.1371/journal.pbio.3000633#sec010

The goal of this repository is to write out a pipeline for stacked generalisation method used in "Mapping trends in insecticide resistance phenotypes in African malaria vectors".

We will first begin by generating a fake targets pipeline, so that we can identify the general workflow and refine it and make sure it has some kind of face validity, before going back into this in more depth

The data for this repository has been obtained from Moyes et al's Data Dryad repository,

Use the capsule package to manage the R dependencies

install.packages(
   "capsule", 
   repos = c(mm = "https://milesmcbain.r-universe.dev", getOption("repos")))

Run targets:

capsule::run(targets::tar_make())

This should, in theory, run the targets pipeline and you should then also have the packages installed that you require.

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