Package: PeakSegOptimal
Maintainer: Toby Dylan Hocking <toby.hocking@r-project.org>
Author: Toby Dylan Hocking
Version: 2018.05.25
License: GPL-3
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: 2018-05-25 13:26:11 UTC; tdhock
Repository: CRAN
Date/Publication: 2018-05-25 15:50:28 UTC
Built: R 4.0.2; x86_64-apple-darwin17.0; 2020-07-17 09:51:34 UTC; unix
Archs: PeakSegOptimal.so.dSYM
