## ---- include = FALSE--------------------------------------------------------- knitr::opts_chunk$set( collapse = TRUE, comment = "#>" ) ## ----------------------------------------------------------------------------- library(MIIPW) data("srdata1") head(srdata1) apply(srdata1,2,anyNA) mice::md.pattern(srdata1[,-c(1,2)],plot = TRUE) ## ----------------------------------------------------------------------------- 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) summary_meanscore(m1) ## ----eval=FALSE--------------------------------------------------------------- # m2<-SIPW(data=srdata1,formula<-formula,id='ID', # visit='Visit',family='gaussian',corstr = 'exchangeable',maxit=5) # # m3<-AIPW(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=3,pMat=pMat) # # m4<-miSIPW(data=srdata1, # formula<-formula,id='ID', # visit='Visit',family='gaussian',init.beta = NULL, # init.alpha=NULL,init.phi=1,tol=0.001,weights = NULL, # corstr = 'exchangeable',maxit=50,m=2,pMat=pMat) # # m1<-miAIPW(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=4,m=2,pMat=pMat) # ## ----------------------------------------------------------------------------- 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") ##