Higher Order Mutual Information Approximation for Feature Selection.
You can install the released version of HOFS from GitHub with:
library(remotes)
install_github("KrzyGajow/HOFS")
This is a basic example which shows you how to solve a common problem:
library("HOFS")
data(iris)
Results <- HOFS( data = iris[ , -5 ], label = iris[ , 5, drop = F ], Nfeatures = 4 )
# Run Shiny web application
runShinyHOFS()