Get best candidate change point according to binary segmentation
oneBkp(Y, weights =NULL, verbose =FALSE)
Arguments
Y: A n*p matrix, p signals of length n to be segmented (centered by column)
weights: a (n-1)*1 vector of weights for the candidate change point positions. Default weights yield the likelihood ratio test (LRT) statistic for the identification of a single change point.
verbose: A logical value: should extra information be output ? Defaults to FALSE.