time_msm: Estimate Using Marginal Structural Models

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

Estimate Using Marginal Structural Models

Description

Estimate using marginal structural models.

Usage

time_msm(data, outcome.name, exposure.names, confound.names)

msm.r(data, outcome.name, exposure.names, confound.names)

snmm.r(data, outcome.name, exposure.names, confound.names)

Arguments

data	Dataframe.
outcome.name	Name of outcome variable.
exposure.names	Name of exposure variables. There must be 2 of them.
confound.names	Names of the confound variables.

Details

Estimate using marginal structural models with he tidyverse way of coding.

Value

Dataframe in a useable format for rsample::bootstraps.

Source

Section 13.1

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.