fuzzy_forest

List of selected features along with variable
importance measures.

feature_list

A final random forest fit using the features
selected by fuzzy forests.

final_rf

module_membership

WGCNA_object

List of features that have survived screening step.

survivor_list

List of features retained at each iteration of
selection step.

selection_list

Fuzzy forests returns an object of type
fuzzyforest.

Fuzzy forests, a new algorithm based on random forests,
    is designed to reduce the bias seen in random forest feature selection
    caused by the presence of correlated features.  Fuzzy forests uses
    recursive feature elimination random forests to select
    features from separate blocks of correlated features where the
    correlation within each block of features is high
    and the correlation between blocks of features is low.
    One final random forest is fit using the surviving features.
    This package fits random forests using the 'randomForest' package and
    allows for easy use of 'WGCNA' to split features into distinct blocks.

fuzzy_forest: Fuzzy Forest Object

Description

Usage

Arguments

Value