mcee_config_rf: Configure Random Forest for MCEE nuisance parameters

In MRTAnalysis: Assessing Proximal, Distal, and Mediated Causal Excursion Effects for Micro-Randomized Trials

Configure Random Forest for MCEE nuisance parameters

Description

Creates a configuration to fit nuisance parameters using random forests via randomForest::randomForest(). Good for nonlinear patterns.

Usage

mcee_config_rf(target, formula)

Arguments

target	Character. Nuisance parameter name ("p", "q", "eta", "mu", "nu").
formula	RHS-only formula (e.g., ~ X1 + X2 + dp).

Value

A configuration list for use with mcee_general.

Examples

# Random forest for complex propensity model
cfg_q <- mcee_config_rf("q", ~ dp + M + X1 + X2)

MRTAnalysis documentation built on Sept. 9, 2025, 5:41 p.m.