Causes of Outcome Learning

Implementing the computational phase of the Causes of Outcome Learning approach as described in Rieckmann, Dworzynski, Arras, Lapuschkin, Samek, Arah, Rod, Ekstrom. 2022. Causes of outcome learning: A causal inference-inspired machine learning approach to disentangling common combinations of potential causes of a health outcome. International Journal of Epidemiology . The optional 'ggtree' package can be obtained through Bioconductor.

Causes of Outcome Learning

To install the 'CoOL' package, you can run below code in R

if(!require("devtools")) install.packages("devtools")
devtools::install_github("ekstroem/CoOL")

In order to plot dendrograms, you will also need to install the 'ggtree' package using below code in R

if (!requireNamespace("BiocManager", quietly = TRUE))
    install.packages("BiocManager")
BiocManager::install("ggtree")