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

In binomialRF: Binomial Random Forest Feature Selection

Description

calculateBinomialP 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(L, percent_features)

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)

Value

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

Examples

calculateBinomialP(110, .4)
calculateBinomialP(13200, .5)

binomialRF documentation built on March 26, 2020, 5:13 p.m.