R/zzz-PB-anova-not-used.R

In myaseen208/pbkrtest: Parametric Bootstrap and Kenward Roger Based Methods for Mixed Model Comparison

### ###########################################################
###
### PBanova
###
### ###########################################################

##.PBanova <- function(largeModel, smallModel=NULL, nsim=200, cl=NULL){
##    if (is.null(smallModel)){
##        fixef.name <- rev(attr(terms(largeModel),"term.labels"))
##        ans1 <- list()
##        ans2 <- list()
##        
##        for (kk in seq_along(fixef.name)){
##            dropped <- fixef.name[kk]
##            newf <- as.formula(paste(".~.-", dropped))
##            smallModel <- update(largeModel, newf)
##                                        #cat(sprintf("dropped: %s\n", dropped))
##            rr <- PBrefdist(largeModel, smallModel, nsim=nsim, cl=cl)
##            ans1[[kk]] <- PBmodcomp(largeModel, smallModel, ref=rr)
##                                        #ans2[[kk]] <- .FFmodcomp(largeModel, smallModel, ref=rr)
##            largeModel <- smallModel
##        }
##        
##        ans12 <- lapply(ans1, as.data.frame)
##        ans22 <- lapply(ans2, as.data.frame)
##        
##        ans3 <- list()
##        for (kk in seq_along(fixef.name)){
##            dropped <- fixef.name[kk]
##            ans3[[kk]] <-
##                rbind(
##                    cbind(term=dropped, test=rownames(ans12[[kk]]), ans12[[kk]],df2=NA),
##                    cbind(term=dropped, test=rownames(ans22[[kk]][2,,drop=FALSE]), ans22[[kk]][2,,drop=FALSE]))
##            
##        }
##        
##        ans3 <- rev(ans3)
##        ans4 <- do.call(rbind, ans3)
##        rownames(ans4) <- NULL
##        ans4$p<-round(ans4$p,options("digits")$digits)
##        ans4$tobs<-round(ans4$tobs,options("digits")$digits)
##        
##        ans4
##    } else {
##        
##        
##    }
##}
##