Change-Point Detection by Sample-Splitting Methods
Implements multiple change searching algorithms for a variety of
frequently considered parametric change-point models. In particular, it
integrates a criterion proposed by Zou, Wang and Li (2020)
to select the number of change-points in a
data-driven fashion. Moreover, it also provides interfaces for
users-customized change-point models with their own cost function and
estimation routines.