joint.effect: Find the joint effect of a list of mediators.

In mlma: Multilevel Mediation Analysis

Find the joint effect of a list of mediators.

Description

This function provides the inference information (estimation, standard deviation, etc.) for the joint and relative effect of a list of mediators.

Usage

joint.effect(object,var.list,digits=4,...,alpha=0.05)
## S3 method for class 'joint.effect'
print(x,...)

Arguments

object	an "boot.mlma" object.
x	an "joint.effect" object from the joint.effect function.
var.list	a list of mediators whose joint effects are of interest.
...	arguments to be passed to methods.
alpha	the significance level at which to draw the confidence bands.
digits	number of digits to be printed.

Author(s)

Qingzhao Yu ([e-mail]), Bin Li ([e-mail]).

Examples

data(sim.111)
data(sim.211)
data3<-data.org(x=cbind(ifelse(sim.211$x>1.9,1,0),sim.111$x), m=sim.211$m, 
                f20ky=list(2,c("x","x^3")), f01km1=list(matrix(c(2,1),1),"sqrt(x)+3"), 
                f01km2=list(matrix(c(1,1),1),c("x^1.2","x^2.3")), level=sim.211$level)
temp3.boot<-boot.mlma(y=sim.211$y, data1=data3,boot=2) 
joint.effect(temp3.boot, var.list=c("m.4"))

mlma documentation built on Aug. 30, 2023, 1:10 a.m.