calc_v_fold_mixtures_ate: Calculate the ATE for V-fold specific rules

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

Calculate the ATE for V-fold specific rules

Description

For each rule in each fold extract the relevant nuisance parameter data calculated in the folds. Given the validation data estimates for each rule do a TMLE update step to target the average treatment effect. Update the initial counterfactuals,calculate the influence curve and using the influence curve calculate variance estimates and p-values.

Usage

calc_v_fold_mixtures_ate(input_mix_rules, input_mix_data, y, n_folds)

Arguments

input_mix_rules	List of dataframes of rules found for a mixture across the folds
input_mix_data	Nuisance parameter data for mixture rules found across the folds
y	Character indicating the outcome variable
n_folds	Number of folds used in cross-validation

Value

A data frame of mixture results for each variable level combination for each fold

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