Description Usage Arguments Value Examples
Initial screening procedure to exclude most of the inrelevant points based on the Cramer-Von Mises two-sample test statistics, thus NMCD is implemented in a much lower dimensional space.
1 | isp(x, n = length(x), an = as.integer(log(n)^1.5/2))
|
x |
the data vector. |
n |
the length of the data. |
an |
an appropriate integer which is the length of each subsequence of the data. |
a list is returned with elements:
ncp |
the number of candidate change-points |
cpp |
the position of candidate change-points |
1 2 3 |
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