mediation_NIE: Estimate the Natural Indirect Effect of a Mediator Variable

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

Estimate the Natural Indirect Effect of a Mediator Variable

Description

Estimate the natural indirect effect of a mediator variable.

Usage

mediation_NIE(data, formula, exposure.name, mediator.name, confound.names)

Arguments

data	Dataframe of raw data.
formula	Formula representing the model.
exposure.name	Name of exposure variable.
mediator.name	Name of mediator variable.
confound.names	Names of the confound variables.

Details

Estimate the natural indirect effect of a mediator variable with parametric assumptions.

Value

Dataframe in a useable format for rsample::bootstraps.

Source

section 12.3

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.