nntmvn (version 1.3.0)

corr_nn: Find ordered nearest neighbors based on correlation, assuming the absolute value of the correlation is monotonically decreasing with distance. Returns an n X (m + 1) matrix, each row indicating the m + 1 nearest neighbors including itself.

Description

Find ordered nearest neighbors based on correlation, assuming the absolute value of the correlation is monotonically decreasing with distance. Returns an n X (m + 1) matrix, each row indicating the m + 1 nearest neighbors including itself.

Usage

corr_nn(covmat, m)

Value

an n X (m + 1) matrix

Arguments

covmat

the covariance matrix

m

the number of nearest neighbors

Examples

library(RANN)
library(nntmvn)
set.seed(123)
d <- 3
n <- 100
locs <- matrix(runif(d * n), n, d)
covparms <- c(2, 0.01, 0)
covmat <- GpGp::matern15_isotropic(covparms, locs)
m <- 10
NNarray_test <- RANN::nn2(locs, k = m + 1)[[1]]
NNarray <- nntmvn::corr_nn(covmat, m)
cat("Number of mismatch is", sum(NNarray != NNarray_test, na.rm = TRUE))