Package: PeakSegOptimal
Authors@R: person(given = c("Toby", "Dylan"),
 family = "Hocking",
 role = c("aut", "cre"),
 email = "toby.hocking@r-project.org")
Version: 2024.10.1
License: GPL-3
URL: https://github.com/tdhock/PeakSegOptimal
BugReports: https://github.com/tdhock/PeakSegOptimal/issues
Title: Optimal Segmentation Subject to Up-Down Constraints
Description: 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.
Depends: R (>= 2.10)
Imports: penaltyLearning
Suggests: PeakSegDP (>= 2016.08.06), cosegData, ggplot2, testthat,
        data.table (>= 1.9.8)
Remotes: tdhock/cosegData
Repository: https://tdhock.r-universe.dev
Date/Publication: 2026-03-27 18:50:00 UTC
RemoteUrl: https://github.com/tdhock/peaksegoptimal
RemoteRef: HEAD
RemoteSha: 40b762a4ac7f0ff13455848029e686248a6f63d5
NeedsCompilation: yes
Packaged: 2026-06-24 02:24:38 UTC; root
Author: Toby Dylan Hocking [aut, cre]
Maintainer: Toby Dylan Hocking <toby.hocking@r-project.org>