coef.cond_indirect_effects: Estimates of Conditional Indirect Effects or Conditional...

In manymome: Mediation, Moderation and Moderated-Mediation After Model Fitting

Estimates of Conditional Indirect Effects or Conditional Effects

Description

Return the estimates of the conditional indirect effects or conditional effects for all levels in the output of cond_indirect_effects().

Usage

## S3 method for class 'cond_indirect_effects'
coef(object, ...)

Arguments

object	The output of cond_indirect_effects().
...	Optional arguments. Ignored by the function.

Details

It extracts and returns the column ind or std in the output of cond_indirect_effects().

Value

A numeric vector: The estimates of the conditional effects or conditional indirect effects.

See Also

cond_indirect_effects()

Examples

library(lavaan)
dat <- modmed_x1m3w4y1
mod <-
"
m1 ~ x  + w1 + x:w1
m2 ~ m1
y  ~ m2 + x + w4 + m2:w4
"
fit <- sem(mod, dat,
           meanstructure = TRUE, fixed.x = FALSE,
           se = "none", baseline = FALSE)
est <- parameterEstimates(fit)

# Conditional effects from x to m1 when w1 is equal to each of the levels
out1 <- cond_indirect_effects(x = "x", y = "m1",
                      wlevels = c("w1"), fit = fit)
out1
coef(out1)

# Conditional indirect effects from x1 through m1 and m2 to y,
out2 <- cond_indirect_effects(x = "x", y = "y", m = c("m1", "m2"),
                      wlevels = c("w1", "w4"), fit = fit)
out2
coef(out2)

# Standardized conditional indirect effects from x1 through m1 and m2 to y,
out2std <- cond_indirect_effects(x = "x", y = "y", m = c("m1", "m2"),
                      wlevels = c("w1", "w4"), fit = fit,
                      standardized_x = TRUE, standardized_y = TRUE)
out2std
coef(out2std)

manymome documentation built on Oct. 4, 2024, 5:10 p.m.