PeakSegOptimal (2018.05.25)
Optimal Segmentation Subject to Up-Down Constraints.
http://cran.r-project.org/web/packages/PeakSegOptimal
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" by TD Hocking et al.
Maintainer:
Toby Dylan Hocking
Author(s): Toby Dylan Hocking
License: GPL-3
Uses: penaltyLearning, ggplot2, data.table, testthat, PeakSegDP
Released about 1 year ago.
3 previous versions
- PeakSegOptimal_2017.07.12. Released about 2 years ago.
- PeakSegOptimal_2017.07.11. Released about 2 years ago.
- PeakSegOptimal_2017.06.20. Released about 2 years ago.
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