predict.lm_from_lavaan_list: Predicted Values of an 'lm_from_lavaan_list'-Class Object

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

Predicted Values of an 'lm_from_lavaan_list'-Class Object

Description

It computes the predicted values based on the models stored in an 'lm_from_lavaan_list'-class object.

Usage

## S3 method for class 'lm_from_lavaan_list'
predict(object, x = NULL, y = NULL, m = NULL, newdata, ...)

Arguments

object	A 'lm_from_lavaan'-class object.
x	The variable name at the start of a path.
y	The variable name at the end of a path.
m	Optional. The mediator(s) from x to y. A numeric vector of the names of the mediators. The path goes from the first element to the last element. For example, if m = c("m1", "m2"), then the path is x -> m1 -> m2 -> y.
newdata	Required. A data frame of the new data. It must be a data frame.
...	Additional arguments. Ignored.

Details

An lm_from_lavaan_list-class object is a list of lm_from_lavaan-class objects.

This is an advanced helper used by plot.cond_indirect_effects(). Exported for advanced users and developers.

Value

A numeric vector of the predicted values, with length equal to the number of rows of user-supplied data.

See Also

lm_from_lavaan_list()

Examples

library(lavaan)
data(data_med)
mod <-
"
m ~ a * x + c1 + c2
y ~ b * m + x + c1 + c2
"
fit <- sem(mod, data_med, fixed.x = FALSE)
fit_list <- lm_from_lavaan_list(fit)
tmp <- data.frame(x = 1, c1 = 2, c2 = 3, m = 4)
predict(fit_list, x = "x", y = "y", m = "m", newdata = tmp)

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