evaluate_marginal_rules: Evaluate mixture rules found during the rpart decision tree...

In blind-contours/CVtreeMLE: Cross Validated Decision Trees with Targeted Maximum Likelihood Estimation

Evaluate mixture rules found during the rpart decision tree process

Description

Evaluate mixture rules found during the rpart decision tree process

Usage

evaluate_marginal_rules(data, marg_decisions, no_marg_rules, mix_comps)

Arguments

data	Input data
marg_decisions	List of rules determined for each mixture component
no_marg_rules	TRUE/FALSE if no marginal rules were found across the folds
mix_comps	Vector of characters denoting mixture components

Value

A list with marginal rules evaluated which includes:

• data: The fold raw data with the sum of evaluated rule binary vectors for each mixture component added.

• marg_rule_df: A binary matrix where each marginal rule has been evaluated to a binary vector.

blind-contours/CVtreeMLE documentation built on June 22, 2024, 8:53 p.m.