A graph-guided Random Forest algorithm
Grand Forest is a graph-guided Random Forest algorithm, integrating secondary graph-structured data in order guide the feature selection towards interacting features. While it can be used for prediction, the main purpose of Grand Forest is descriptive, as it provides an efficient way of discovering highly informative subnetworks. Grand Forest is based on ranger.
To install the latest development version of the R package run:
devtools::install_github("SimonLarsen/grandforest")If you find any bugs, or if you experience any crashes, please report them at https://github.com/SimonLarsen/grandforest.
If you use Grand Forest in your research, we kindly ask you to cite the following publication:
Citation details to be announced.