summary.glmmEP: Inferential summary for a generalized linear mixed model with...

In glmmEP: Generalized Linear Mixed Model Analysis via Expectation Propagation

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 glmmEP() fit object.
...	Place-holder for additional arguments.

Author(s)

Matt [e-mail] and James [e-mail]

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)

glmmEP documentation built on Oct. 30, 2019, 9:39 a.m.