Optimal Segmentation Subject to Up-Down Constraints R package PeakSegOptimal version 2024.10.1 CRAN Task View: Omics (https://CRAN.R-project.org/view=Omics) Computes optimal changepoint models using the Poisson likelihood for non-negative count data, subject to the PeakSeg constraint: the first change must be up, second change down, third change up, etc. For more info about the models and algorithms, read "Constrained Dynamic Programming and Supervised Penalty Learning Algorithms for Peak Detection" <https://jmlr.org/papers/v21/18-843.html> by TD Hocking et al. Software Depends: R (>= 2.10) Imports: penaltyLearning Suggests: PeakSegDP (>= 2016.08.06), ggplot2, testthat, data.table (>= 1.9.8) Toby Dylan Hocking <toby.hocking@r-project.org> Comprehensive R Archive Network (CRAN) Toby Dylan Hocking [aut, cre] GPL-3 2024-10-02 application/tgz https://CRAN.R-project.org/package=PeakSegOptimal doi:10.32614/CRAN.package.PeakSegOptimal