summary_modmed {moderate.mediation}

Summarizing Output for Causal Moderated Mediation Analysis

Description

'summary_modmed' is used to report from causal moderated mediation analysis. Alternatively, 'summary' can also be used to generate the same output.

Usage

summary_modmed(object, ...)

Arguments

object

output from modmed function

...

additional arguments affecting the summary produced.

Value

modmed returns causal moderated mediation analysis results. The summary_modmed function provides summary tables of the results.

Author(s)

Xu Qin and Lijuan Wang

References

Qin, X., & Wang, L. (2023). Causal moderated mediation analysis: Methods and software

Examples

data(newws)
modmed.results = modmed(data = newws, treatment = "treat", mediator = "emp",
    outcome = "depression", covariates.disc = c("emp_prior", "nevmar",
        "hispanic", "nohsdip"), covariates.cont = c("workpref", "attitude",
        "depress_prior"), moderators.disc = "CHCNT", moderators.cont = "ADCPC",
    m.model = list(intercept = c("ADCPC", "CHCNT"), treatment = c("ADCPC",
        "CHCNT"), emp_prior = NULL, nevmar = NULL, hispanic = NULL,
        nohsdip = NULL, workpref = NULL, attitude = NULL, depress_prior = NULL),
    y.model = list(intercept = c("ADCPC", "CHCNT"), treatment = c("ADCPC",
        "CHCNT"), mediator = c("ADCPC", "CHCNT"), tm = c("ADCPC",
        "CHCNT"), emp_prior = NULL, nevmar = NULL, hispanic = NULL,
        nohsdip = NULL, workpref = NULL, attitude = NULL, depress_prior = NULL),
    comp.mod.disc.values = 3, ref.mod.disc.values = 2, comp.mod.cont.values = 5050,
    ref.mod.cont.values = 5050, m.scale = "binary", y.scale = "continuous",
    seed = 1)
summary_modmed(modmed.results)
summary(modmed.results)