kde2D <- function (x, bandwidth, gridsize = c(51L, 51L), range.x, truncate = TRUE)
{
gcounts <- t(x[nrow(x):1,])
gcounts[is.na(gcounts)] <- 0
gridsize <- dim(gcounts)
n <- sum(!(gcounts==0))
#range.x <- list(c(1, gridsize[1]), c(1, gridsize[2]))
if (!missing(bandwidth) && min(bandwidth) <= 0)
stop("'bandwidth' must be strictly positive")
# n <- nrow(x)
M <- gridsize
h <- bandwidth
tau <- 3.4
if (length(h) == 1L)
h <- c(h, h)
# if (missing(range.x)) {
# range.x <- list(0, 0)
# for (id in (1L:2L)) range.x[[id]] <- c(min(x[, id]) -
# 1.5 * h[id], max(x[, id]) + 1.5 * h[id])
# }
a <- c(range.x[[1L]][1L], range.x[[2L]][1L])
b <- c(range.x[[1L]][2L], range.x[[2L]][2L])
gpoints1 <- seq(a[1L], b[1L], length = M[1L])
gpoints2 <- seq(a[2L], b[2L], length = M[2L])
# gcounts <- linbin2D(x, gpoints1, gpoints2)
L <- numeric(2L)
kapid <- list(0, 0)
for (id in 1L:2L) {
L[id] <- min(floor(tau * h[id] * (M[id] - 1)/(b[id] -
a[id])), M[id] - 1L)
lvecid <- 0:L[id]
facid <- (b[id] - a[id])/(h[id] * (M[id] - 1L))
z <- matrix(dnorm(lvecid * facid)/h[id])
tot <- sum(c(z, rev(z[-1L]))) * facid * h[id]
kapid[[id]] <- z/tot
}
kapp <- kapid[[1L]] %*% (t(kapid[[2L]]))/n
if (min(L) == 0)
warning("Binning grid too coarse for current (small) bandwidth: consider increasing 'gridsize'", call. = FALSE)
P <- 2^(ceiling(log(M + L)/log(2)))
L1 <- L[1L]
L2 <- L[2L]
M1 <- M[1L]
M2 <- M[2L]
P1 <- P[1L]
P2 <- P[2L]
rp <- matrix(0, P1, P2)
rp[1L:(L1 + 1), 1L:(L2 + 1)] <- kapp
if (L1)
rp[(P1 - L1 + 1):P1, 1L:(L2 + 1)] <- kapp[(L1 + 1):2,
1L:(L2 + 1)]
if (L2)
rp[, (P2 - L2 + 1):P2] <- rp[, (L2 + 1):2]
sp <- matrix(0, P1, P2)
sp[1L:M1, 1L:M2] <- gcounts
rp <- fft(rp)
sp <- fft(sp)
rp <- Re(fft(rp * sp, inverse = TRUE)/(P1 * P2))[1L:M1, 1L:M2]
rp <- rp * matrix(as.numeric(rp > 0), nrow(rp), ncol(rp))
list(x1 = gpoints1, x2 = gpoints2, fhat = rp)
}
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