# -------------------------------------------- # CITATION file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # -------------------------------------------- cff-version: 1.2.0 message: 'To cite package "TSMCP" in publications use:' type: software license: GPL-2.0-or-later title: 'TSMCP: Fast Two Stage Multiple Change Point Detection' version: '1.1' doi: 10.32614/CRAN.package.TSMCP abstract: A novel and fast two stage method for simultaneous multiple change point detection and variable selection for piecewise stationary autoregressive (PSAR) processes and linear regression model. It also simultaneously performs variable selection for each autoregressive model and hence the order selection. authors: - family-names: Li given-names: Yaguang email: liyg@mail.ustc.edu.cn - family-names: Jin given-names: Baisuo email: jbs@ustc.edu.cn repository: https://cran.r-universe.dev commit: 7a13cb337715c40af5dd998686123896da26be08 date-released: '2025-11-03' contact: - family-names: Li given-names: Yaguang email: liyg@mail.ustc.edu.cn