Package: PeakSegOptimal
Maintainer: Toby Dylan Hocking <toby.hocking@r-project.org>
Author: Toby Dylan Hocking
Version: 2024.1.24
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 "A log-linear time algorithm for constrained changepoint detection"
 <arXiv:1703.03352> 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: 2024-01-24 18:49:16 UTC; th798
Repository: CRAN
Date/Publication: 2024-01-24 19:10:02 UTC
Built: R 4.2.3; aarch64-apple-darwin20; 2024-01-24 22:27:45 UTC; unix
Archs: PeakSegOptimal.so.dSYM
