Package: PeakSegOptimal 2019.12.4

PeakSegOptimal: Optimal Segmentation Subject to Up-Down Constraints

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.

Authors:Toby Dylan Hocking

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Peer review:

Bug tracker:https://github.com/tdhock/peaksegoptimal/issues

On CRAN:

7 exports 6 stars 1.26 score 30 dependencies 43 scripts 264 downloads

Last updated 5 years agofrom:ecc9a84827. Checks:OK: 1 NOTE: 8. Indexed: yes.

Exports:oracleModelComplexityPeakSegFPOPPeakSegFPOPchromPeakSegPDPAPeakSegPDPAchromPeakSegPDPAInfPoissonLoss

Dependencies:clicolorspacedata.tablefansifarverggplot2gluegtableisobandlabelinglatticelifecyclemagrittrMASSMatrixmgcvmunsellnlmepenaltyLearningpillarpkgconfigR6RColorBrewerrlangscalestibbleutf8vctrsviridisLitewithr