Nothing
gfunction.the.lo <- function(para, map, data){
nmodel <- length(map$bet)
the <- para[map$the]
fx <- as.matrix(data[, names(the), drop = FALSE])
g.the <- list()
nthe <- length(the)
n <- nrow(data)
nlam <- max(map$lam)
offset <- max(map$the)
for(j in 1:nthe){
gt <- matrix(0, nrow = n, ncol = nlam)
fx0 <- fx[, names(the)[j]]
for(i in 1:nmodel){
id.a <- alp.index.lo(map, i)
alp.exist <- !is.null(id.a)
if(alp.exist){
alp <- para[id.a]
}else{
alp <- NULL
}
id.b <- map$bet[[i]]
bet <- para[id.b]
gam <- c(alp, bet)
rx <- as.matrix(data[, names(gam), drop = FALSE])
tmp <- as.vector(exp(fx %*% the))
yh <- tmp/(1+tmp)
id <- c(id.a, id.b)
gt[, id - offset] <- rx[, names(para)[id], drop = FALSE] * (fx0 * yh * (1-yh))
rm(id.a, id.b, alp.exist)
}
g.the[[j]] <- gt
rm(gt)
}
g.the
}
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