mediation: Estimate Mediation Effect with Parametric Assumptions

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

Estimate Mediation Effect with Parametric Assumptions

Description

Estimate mediation effect with parametric assumptions.

Usage

mediation(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 mediation effect with parametric assumptions using the tidyverse way of coding.

Value

Dataframe in a useable format for rsample::bootstraps.

Source

section 12.3

See Also

mediation_calc

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.