.compute_tricube_average <- function(vals, indices, distances, bandwidth=NULL, ndist=3)
# Centralized function to compute tricube averages.
# Bandwidth is set at 'ndist' times the median distance, if not specified.
{
if (is.null(bandwidth)) {
middle <- ceiling(ncol(indices)/2L)
mid.dist <- distances[,middle]
bandwidth <- mid.dist * ndist
}
bandwidth <- pmax(1e-8, bandwidth)
rel.dist <- distances/bandwidth
rel.dist[rel.dist > 1] <- 1 # don't use pmin(), as this destroys dimensions.
tricube <- (1 - rel.dist^3)^3
weight <- tricube/rowSums(tricube)
output <- 0
for (kdx in seq_len(ncol(indices))) {
output <- output + vals[indices[,kdx],,drop=FALSE] * weight[,kdx]
}
if (is.null(dim(output))) {
matrix(0, nrow(vals), ncol(vals))
} else {
output
}
}
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