breakfast               breakfast: Multiple change-point detection and
                        segmentation for data sequences
hybrid.cpt              Multiple change-point detection in the mean of
                        a vector using a hybrid between the TGUH and
                        Adaptive WBS methods.
segment.mean            Multiple change-point detection in the mean of
                        a vector
tguh.cpt                Multiple change-point detection in the mean of
                        a vector using the TGUH method
tguh.decomp             The Tail-Greedy Unbalanced Haar decomposition
                        of a vector
tguh.denoise            Noise removal from Tail-Greedy Unbalanced Haar
                        coefficients via connected thresholding
tguh.reconstr           The inverse Tail-Greedy Unbalanced Haar
                        transformation
wbs.K.cpt               Detecting exactly 'K' change-points in the mean
                        of a vector using the Adaptive WBS method
wbs.bic.cpt             Multiple change-point detection in the mean of
                        a vector using the WBS method, with the number
                        of change-points chosen by BIC
wbs.cpt                 Multiple change-point detection in the mean of
                        a vector using the (Adaptive) WBS method.
wbs.thresh.cpt          Multiple change-point detection in the mean of
                        a vector using the (Adaptive) WBS method, with
                        the number of change-points chosen by
                        thresholding
