calc_clever_covariate: Calculate the Clever Covariate for the TMLE step of the ATE

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

Calculate the Clever Covariate for the TMLE step of the ATE

Description

Calculate the Clever Covariate for the TMLE step of the ATE

Usage

calc_clever_covariate(ghat_1_w, data, exposure, h_aw_trunc_lvl, type = "reg")

Arguments

ghat_1_w	Numeric vector of values in the unit interval that represent the predicted probabilities of being treated/exposed.
data	Dataframe that includes treatement/exposure
exposure	Variable name in data that the clever covariate is calculated for
h_aw_trunc_lvl	Truncation level of the clever covariate
type	Type of clever covariate to calculate, reg is standard difference in inverse weightings, mod is used for the additive ATE

Details

Calculates the clever covariate or difference in inverse propensity scores for treatment used in the TMLE update step

Value

A numeric vector of the same length as vals, where the returned values are bounded to machine precision. This is intended to avoid numerical instability issues.

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