Nothing
DS.micro.inf.nnu <-
function(DS.GF.obj, y.0, se.0){
fam <- "Normal"
out <- list()
lambda.i <- function(s.i, tau.2){s.i^2/(s.i^2+tau.2)}
###Find Posterior Values
post.mu.i <- lambda.i(se.0, DS.GF.obj$g.par[2]) * DS.GF.obj$g.par[1] +
(1-lambda.i(se.0, DS.GF.obj$g.par[2]))* y.0
post.tau2.i <- (1-lambda.i(se.0, DS.GF.obj$g.par[2]))*se.0^2 #output is VARIANCE
###Set up conversion based on d(u)
theta.conv <- qnorm(DS.GF.obj$UF.data$UF.x, DS.GF.obj$g.par[1],
sd = sqrt(DS.GF.obj$g.par[2]))
PEB.pos.den <- dnorm(theta.conv, post.mu.i, sd = sqrt(post.tau2.i)) #in terms of theta
out$PEB.mode <- theta.conv[which.max(PEB.pos.den)]
out$PEB.mean <- post.mu.i
if(sum(DS.GF.obj$LP.par^2)==0){
out$DS.mean <- out$PEB.mean
out$DS.mode <- out$PEB.mode
out$post.vec <- c(out$PEB.mean, out$DS.mean, out$PEB.mode, out$DS.mode)
out$post.fit <- data.frame(theta.vals = theta.conv,
parm.pos = PEB.pos.den)
out$study <- c(y.0, se.0)
} else {
wght.den <- weight.fun.univ(DS.GF.obj$UF.data$UF.x,
DS.GF.obj$g.par[1], DS.GF.obj$g.par[2],
post.mu.i, post.tau2.i, family = fam) # in terms of u
##### LP posterior calculations
denom <- sintegral(DS.GF.obj$UF.data$UF.x,
DS.GF.obj$UF.data$UF.y*wght.den)$int # in terms of u
LP.pos.den <- PEB.pos.den * (DS.GF.obj$UF.data$UF.y/denom) #in terms of theta
out$post.fit <- data.frame(theta.vals = theta.conv,
parm.pos = PEB.pos.den,
ds.pos = LP.pos.den)
out$DS.mean <- sintegral(DS.GF.obj$UF.data$UF.x,
theta.conv*DS.GF.obj$UF.data$UF.y*wght.den)$int / denom #in terms of u
out$DS.mode <- out$post.fit$theta.vals[which.max(out$post.fit$ds.pos)]
out$post.vec <- c(out$PEB.mean, out$DS.mean, out$PEB.mode, out$DS.mode)
out$study <- c(y.0, se.0)
}
class(out) <- "DS_GF_micro"
names(out$post.vec) <- c("PEB_MN", "DS_MN", "PEB_MD", "DS_MD")
names(out$PEB.mean) <- NULL; names(out$PEB.mode) <- NULL; names(out$DS.mean) <- NULL; names(out$DS.mode) <- NULL
return(out)
}
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