joint.effect {mlma} | R Documentation |
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 (qyu@lsuhsc.edu), Bin Li (bli@lsu.edu).
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"))
[Package mlma version 6.3-1 Index]