# -------------------------------------------- # CITATION file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # -------------------------------------------- cff-version: 1.2.0 message: 'To cite package "L0TFinv" in publications use:' type: software license: GPL-3.0-or-later title: 'L0TFinv: A Splicing Approach to the Inverse Problem of L0 Trend Filtering' version: 0.1.0 doi: 10.32614/CRAN.package.L0TFinv abstract: 'Trend filtering is a widely used nonparametric method for knot detection. This package provides an efficient solution for L0 trend filtering, avoiding the traditional methods of using Lagrange duality or Alternating Direction Method of Multipliers algorithms. It employ a splicing approach that minimizes L0-regularized sparse approximation by transforming the L0 trend filtering problem. The package excels in both efficiency and accuracy of trend estimation and changepoint detection in segmented functions. References: Wen et al. (2020) ; Zhu et al. (2020); Wen et al. (2023) .' authors: - family-names: Wang given-names: Tianhao email: tianhaowang@mail.ustc.edu.cn - family-names: Wen given-names: Canhong email: wench@ustc.edu.cn repository: https://thaowang.r-universe.dev repository-code: https://github.com/C2S2-HF/InverseL0TF commit: b4780ea907256fdfb2c38a0e3e5bae67abb1bdb8 url: https://github.com/C2S2-HF/InverseL0TF date-released: '2025-05-25' contact: - family-names: Wang given-names: Tianhao email: tianhaowang@mail.ustc.edu.cn