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" <doi:10.48550/arXiv.1703.03352> by TD Hocking et al.
| Version: | 2024.1.24 |
| Depends: | R (≥ 2.10) |
| Imports: | penaltyLearning |
| Suggests: | PeakSegDP (≥ 2016.08.06), ggplot2, testthat, data.table (≥ 1.9.8) |
| Published: | 2024-01-24 |
| DOI: | 10.32614/CRAN.package.PeakSegOptimal |
| Author: | Toby Dylan Hocking |
| Maintainer: | Toby Dylan Hocking <toby.hocking at r-project.org> |
| BugReports: | https://github.com/tdhock/PeakSegOptimal/issues |
| License: | GPL-3 |
| URL: | https://github.com/tdhock/PeakSegOptimal |
| NeedsCompilation: | yes |
| Materials: | NEWS |
| In views: | Omics |
| CRAN checks: | PeakSegOptimal results |
| Reference manual: | PeakSegOptimal.pdf |
| Package source: | PeakSegOptimal_2024.1.24.tar.gz |
| Windows binaries: | r-devel: PeakSegOptimal_2024.1.24.zip, r-release: PeakSegOptimal_2024.1.24.zip, r-oldrel: PeakSegOptimal_2024.1.24.zip |
| macOS binaries: | r-release (arm64): PeakSegOptimal_2024.1.24.tgz, r-oldrel (arm64): PeakSegOptimal_2024.1.24.tgz, r-release (x86_64): PeakSegOptimal_2024.1.24.tgz, r-oldrel (x86_64): PeakSegOptimal_2024.1.24.tgz |
| Old sources: | PeakSegOptimal archive |
Please use the canonical form https://CRAN.R-project.org/package=PeakSegOptimal to link to this page.