PeakSegOptimal (2017.07.12)

0 users

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 4 months ago.


2 previous versions

Ratings

Overall:

  (0 votes)

Documentation:

  (0 votes)

Log in to vote.

Reviews

No one has written a review of PeakSegOptimal yet. Want to be the first? Write one now.


Related packages:(20 best matches, based on common tags.)


Search for PeakSegOptimal on google, google scholar, r-help, r-devel.

Visit PeakSegOptimal on R Graphical Manual.