Learn R Programming

multimedia (version 0.2.0)

indirect_pathwise: Indirect Effects via Single Mediation Paths

Description

Indirect Effects via Single Mediation Paths

Usage

indirect_pathwise(model, exper = NULL, t1 = 1, t2 = 2, progress = TRUE)

Value

A data.frame summarizing the pathwise (per-mediator) indirect effects associated with different settings of the direct effect.

Arguments

model

An object of class multimedia containing the estimated mediation and outcome models whose mediation and outcome predictions we want to compare.

exper

An object of class multimedia_data containing the mediation and outcome data from which the direct effects are to be estimated.

t1

The reference level of the treatment to be used when computing the (pathwise) indirect effect.

t2

The alternative level of the treatment to be used when computing the (pathwise) indirect effect.

progress

A logical indicating whether to show a progress bar.

Examples

Run this code
# example with null data
exper <- demo_joy() |>
    mediation_data("PHQ", "treatment", starts_with("ASV"))
fit <- multimedia(exper) |>
    estimate(exper)
indirect_pathwise(fit)

# example with another dataset
exper <- demo_spline(tau = c(2, 1)) |>
    mediation_data(starts_with("outcome"), "treatment", "mediator")
fit <- multimedia(exper) |>
    estimate(exper)
indirect_pathwise(fit)

Run the code above in your browser using DataLab