calculateBinomialP_Interaction: calculate the probability, p, to conduct a binomial exact...

In SamirRachidZaim/binomialRF: Binomial Random Forest Feature Selection

Description

calculateBinomialP_Interaction returns a probability of randomly selecting a feature as the root node in a decision tree. This is a generic function that is called internally in binomialRF but that may also be called directly if needed. The arguments ... should be, L= Total number of features in X, and percent_features= what percent of L is subsampled in the randomForest call.

Usage

calculateBinomialP_Interaction(L, percent_features, K = 2)

Arguments

L	the total number of features in X. Should be a positive integer >1
percent_features	what percentage of L do we subsample at each tree? Should be a proportion between (0,1)
K	interaction level

Value

If L is an integeter returns a probability value for selecting predictor Xj randomly

Examples

calculateBinomialP_Interaction(110, .4,2 )

SamirRachidZaim/binomialRF documentation built on July 19, 2021, 11:48 p.m.