int.eprior <-
function(sdat,g.hat,d.hat){
g.star <- d.star <- NULL
r <- nrow(sdat)
for(i in 1:r){
g <- g.hat[-i]
d <- d.hat[-i]
x <- sdat[i,!is.na(sdat[i,])]
n <- length(x)
j <- numeric(n)+1
dat <- matrix(as.numeric(x),length(g),n,byrow=TRUE)
resid2 <- (dat-g)^2
sum2 <- resid2%*%j
LH <- 1/(2*pi*d)^(n/2)*exp(-sum2/(2*d))
LH[LH=="NaN"]=0
g.star <- c(g.star,sum(g*LH)/sum(LH))
d.star <- c(d.star,sum(d*LH)/sum(LH))
#if(i%%1000==0){cat(i,'\n')}
}
adjust <- rbind(g.star,d.star)
rownames(adjust) <- c("g.star","d.star")
adjust
}
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