backdr_out_np: Standardized estimates via Outcome Modeling, Non-Parametric

In FrankLef/fciR: Data and functions used with Fundamentals of Causal Inference by Babette Brumback

Standardized estimates via Outcome Modeling, Non-Parametric

Description

Standardized estimates via outcome modeling, non-parametric.

Usage

backdr_out_np(data, formula, exposure.name, confound.names, att = FALSE)

Arguments

data	Dataframe of raw data.
formula	Formula representing the model.
exposure.name	Name of exposure variable.
confound.names	Names of the confound variables.
att	if FALSE calculate the standardized (unconfounded) causal effect. If TRUE calculate the average effect of treatment on the treated.

Details

The standardized estimates are computed using the non-parametric outcome model. The calculations are performed without regression.

Value

Dataframe in a useable format for rsample::bootstraps.

Source

Section 6.1

Examples

# An example can be found in the location identified in the
# source section above at the github site
# https://github.com/FrankLef/FundamentalsCausalInference.

FrankLef/fciR documentation built on Nov. 12, 2023, 6:09 a.m.