summary.glmmEP {glmmEP} | R Documentation |
Inferential summary for a generalized linear mixed model with expectation propagation fitting.
Description
Produces a table containing approximated maximum likelihood estimates and corresponding confidence interval limits for the fixed effect parameters and random effects standard deviation and correlation parameters.
Usage
## S3 method for class 'glmmEP'
summary(object,...)
Arguments
object |
A |
... |
Place-holder for additional arguments. |
Author(s)
Matt Wandmatt.wand@uts.edu.au and James Yujamescfyu@gmail.com
Examples
dataObj <- glmmSimData(seed=54321)
y <- dataObj$y
Xfixed <- dataObj$Xfixed
Xrandom <- dataObj$Xrandom
idNum <- dataObj$idNum
fitSimData <- glmmEP(y,Xfixed,Xrandom,idNum)
summary(fitSimData)
[Package glmmEP version 1.0-3.1 Index]