Nothing
bin.info.cubature <- function(X, cifunction, theta = NULL, gf, type = c(1,2), tol, maxEval, absError)
{
if(is.null(theta)) {
if(type == 1) {
fun2 <- function(z)
{
Y <- rbind(data, z)
Y <- Y[which(Y$t <= z[3]),]
Y <- stpp(Y$x, Y$y, Y$t, stwin(X$xcoord, X$ycoord, X$tcoord))
tail(cifunction(Y),1)
}
} else {
fun2 <- function(z)
{
Y <- rbind(data, z)
Y <- Y[which(Y$t <= z[3]),]
Y <- stpp(Y$x, Y$y, Y$t, stwin(X$xcoord, X$ycoord, X$tcoord))
sqrt(tail(cifunction(Y),1))
}
}
compute.fun <- function(node)
{
lower.limit <- c(node[c(1,3)], X$tcoord[1])
upper.limit <- c(node[c(2,4)], X$tcoord[2])
integral <- adaptIntegrate(fun2, lower.limit, upper.limit, tol = tol, maxEval = maxEval, absError = absError)
}
}
if(!is.null(theta)) {
if(type == 1) {
fun2 <- function(z)
{
Y <- rbind(data, z)
Y <- Y[which(Y$t <= z[3]),]
Y <- stpp(Y$x, Y$y, Y$t, stwin(X$xcoord, X$ycoord, X$tcoord))
tail(cifunction(Y, theta),1)
}
} else {
fun2 <- function(z)
{
Y <- rbind(data, z)
Y <- Y[which(Y$t <= z[3]),]
Y <- stpp(Y$x, Y$y, Y$t, stwin(X$xcoord, X$ycoord, X$tcoord))
sqrt(tail(cifunction(Y, theta),1))
}
}
compute.fun <- function(node)
{
lower.limit <- c(node[c(1,3)], X$tcoord[1])
upper.limit <- c(node[c(2,4)], X$tcoord[2])
integral <- adaptIntegrate(fun2, lower.limit, upper.limit, tol = tol, maxEval = maxEval, absError = absError)
}
}
data <- data.frame(cbind(X$x, X$y, X$t))
names(data) <- c("x", "y", "t")
temp.grid <- gf$grid.full
info <- apply(temp.grid, 1, compute.fun)
info <- matrix(unlist(info), ncol = 4, byrow = TRUE)
int.approx <- info[,1]
lamb.sd.final <- info[,2]
n.final <- info[,3]
bins <- list(n = n.final, integral = int.approx, sd.lambda = lamb.sd.final)
class(bins) <- "bin.info"
return(bins)
}
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