Implements various procedures for finding multiple change-points. Two methods make use of dynamic programming and probabilistic pruning, with no distributional assumptions other than the existence of certain absolute moments in one method. Hierarchical and exact search methods are included. All methods return the set of estimated change- points as well as other summary information.
|Author||Nicholas A. James, Wenyu Zhang and David S. Matteson|
|Date of publication||2016-09-27 08:41:46|
|Maintainer||Nicholas A. James <[email protected]>|
|License||GPL (>= 2)|
|Package repository||View on CRAN|
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