average_mixture_rules: Estimate the average rule. This is the rule that is the...

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

Estimate the average rule. This is the rule that is the average across thresholds in folds and gives the lower and upper bounds

Description

This function takes in a list of rules that are grouped by variable sets. These rules for different variable sets may be slightly different across the folds so we make a average rule for each variable set. This entails creating a new rule that is is the average of cutpoints:

Usage

average_mixture_rules(
  group_list,
  data = data,
  mix_comps = mix_comps,
  n_folds,
  mixture_results
)

Arguments

group_list	List of dataframes grouped by rules for variable sets
data	Full data
mix_comps	Mixture components of A
n_folds	Number of folds used in cross-validation
mixture_results	data frame of results found for mixture rules

Value

Rules object. TODO: add more detail here.

Data frame with mixture results including the union rule and proportion found across the folds

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