Nothing
eapmulg2 <- function (DIF, RES, alpha, vres, nodos1, nodos2){
RES<-as.matrix(RES)
n<-size(RES)[1]
m<-size(RES)[2]
if (n>m){
ni <- n
}
else {
ni <- m
}
k <- dim(nodos1)[1]
th <- matrix(0,1,2)
vi <- 0
st <- matrix(0,1,2)
sv <- 0
p <- matrix(0,ni)
L1 <- array(0,dim=c(k,k,k))
deno <- 0
nume1 <- 0
nume2 <- 0
nume3 <- 0
nume4 <- 0
nume5 <- 0
nume6 <-0
for (l in 1:k){
for (t in 1:k){
for (i in 1:k){
L1[l,t,i] <- 1
for (j in 1:ni){
alphatmp <- cbind(alpha[j,1],alpha[j,2])
thettmp <- rbind(nodos1[l,1], nodos1[t,1])
if ((RES[j]-1) != 0){
p1 <- pcongmul(DIF[RES[j]-1,j], alphatmp, thettmp, nodos2[i,1], vres[j])
}
p2 <- 0
if (DIF[RES[j],j] != 0){
p2 <- pcongmul(DIF[RES[j],j], alphatmp, thettmp, nodos2[i,1], vres[j])
}
if ((RES[j]-1) == 0){
p[j] <- 1 - p2
}
else {
p[j] <- p1 - p2
}
}
L1[l,t,i] <- 1
for (j in 1:ni){
L1[l,t,i] <- L1[l,t,i] * p[j]
}
pp <- as.matrix(L1[l,t,i] * nodos1[l,2] *nodos1[t,2] * nodos2[i,2]) # no named num
deno <- deno + pp
nume1 <- nume1 + pp * nodos1[l,1]
nume2 <- nume2 + pp * nodos1[t,1]
nume3 <- nume3 + pp * nodos2[i,1]
nume4 <- nume4 + pp * nodos1[l,1] * nodos1[l,1]
nume5 <- nume5 + pp * nodos1[t,1] * nodos1[t,1]
nume6 <- nume6 + pp * nodos2[i,1] * nodos2[i,1]
}
}
}
th[1] <- nume1 / deno
th[2] <- nume2 / deno
vi <- nume3 / deno
st[1] <- sqrt(nume4 / deno - (th[1]*th[1]))
st[2] <- sqrt(nume5 / deno - (th[2]*th[2]))
sv <- sqrt(nume6 / deno - (vi*vi))
# reli th and PDD
reli_th <- 1 - (st^2)
reli_PDD <- 0.4159/ (0.4159 + sv^2) # nodes variance
OUT <- list("th"=th, "vi"=vi, "st"=st, "sv"=sv, "reli_th" = reli_th, "reli_PDD" = reli_PDD)
return(OUT)
}
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