backdr_twoparts: Compute standardized estimates with the 2-parts model

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

Compute standardized estimates with the 2-parts model

Description

Compute standardized estimates with the 2-parts model.

Usage

backdr_twoparts(data, formula, exposure.name, confound.names, condition.name)

Arguments

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

Details

This method is detailed in exercise 4 of chapter 6. It is useful when there are many zeros. Note that the results don't match exactly those obtained with outcome-mode or exposure-model standardization.

Value

Dataframe in a useable format for rsample::bootstraps.

Source

Exercise 4 of chapter 6.

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.