1 | hard.rejection(distances, p, beta = 0.9, ...)
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distances |
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p |
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beta |
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... |
1 2 3 4 5 6 7 8 9 10 11 12 | ##---- Should be DIRECTLY executable !! ----
##-- ==> Define data, use random,
##-- or do help(data=index) for the standard data sets.
## The function is currently defined as
function (distances, p, beta = 0.9, ...)
{
d0 <- qchisq(beta, p) * median(distances)/qchisq(0.5, p)
weights <- double(length(distances))
weights[distances <= d0] <- 1
weights
}
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