MIIPW (version 0.1.2)

QICmiipw: Model Selection criteria QIC

Description

It provides model selection criteria such as quasi-likelihood under the independence model criterion (QIC), an approximation to QIC under large sample i.e QICu and quasi likelihood

Usage

QICmiipw(model.R, model.indep, family)

Value

returns a list containing QIC,QICu,Quasi likelihood

Arguments

model.R

fitted object obtained from GEE model MeanScore,SIPW,AIPW,miSIPW,miAIPW with correlation struture other than "independent"

model.indep

same fitted object as in model.indep with "independent" correlation struture

family

currently we have inlcuded "poisson","binomial","gaussian"

Details

QICmiipw

References

Pan, Wei. "Akaike's information criterion in generalized estimating equations." Biometrics 57.1 (2001): 120-125.

Examples

if (FALSE) {
 ##
 formula<-C6kine~ActivinRIB+ActivinRIIA+ActivinRIIAB+Adiponectin+AgRP+ALCAM
 pMat<-mice::make.predictorMatrix(srdata1[names(srdata1)%in%all.vars(formula)])
 m1<-MeanScore(data=srdata1,
             formula<-formula,id='ID',
             visit='Visit',family='gaussian',init.beta = NULL,
             init.alpha=NULL,init.phi=1,tol=.00001,weights = NULL,
             corstr = 'exchangeable',maxit=50,m=2,pMat=pMat)
 m11<-MeanScore(data=srdata1,
             formula<-formula,id='ID',
             visit='Visit',family='gaussian',init.beta = NULL,
             init.alpha=NULL,init.phi=1,tol=.00001,weights = NULL,
            corstr = 'independent',maxit=50,m=2,pMat=pMat)
QICmiipw(model.R=m1,model.indep=m11,family="gaussian")
##
}