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), ggplot2, testthat, data.table (>=
        1.9.8)
NeedsCompilation: yes
Packaged: 2024-10-02 04:17:11 UTC; tdhock
Author: Toby Dylan Hocking [aut, cre]
Maintainer: Toby Dylan Hocking <toby.hocking@r-project.org>
Repository: CRAN
Date/Publication: 2024-10-02 04:40:02 UTC
Built: R 4.6.0; x86_64-apple-darwin20; 2026-04-28 20:09:43 UTC; unix
Archs: PeakSegOptimal.so.dSYM
