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PeakSegOptimal

Optimal Segmentation Subject to Up-Down Constraints

v2024.10.1 · Oct 1, 2024 · GPL-3

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 "Constrained Dynamic Programming and Supervised Penalty Learning Algorithms for Peak Detection" <https://jmlr.org/papers/v21/18-843.html> by TD Hocking et al.

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CRAN Check Status

14 OK
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Flavor Status
r-devel-linux-x86_64-debian-clang OK
r-devel-linux-x86_64-debian-gcc OK
r-devel-linux-x86_64-fedora-clang OK
r-devel-linux-x86_64-fedora-gcc OK
r-devel-macos-arm64 OK
r-devel-windows-x86_64 OK
r-oldrel-macos-arm64 OK
r-oldrel-macos-x86_64 OK
r-oldrel-windows-x86_64 OK
r-patched-linux-x86_64 OK
r-release-linux-x86_64 OK
r-release-macos-arm64 OK
r-release-macos-x86_64 OK
r-release-windows-x86_64 OK

Check History

OK 14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE Mar 10, 2026

Dependency Network

Dependencies Reverse dependencies penaltyLearning PeakSegOptimal

Version History

new 2024.10.1 Mar 10, 2026
updated 2024.10.1 ← 2024.1.24 diff Oct 1, 2024
updated 2024.1.24 ← 2018.05.25 diff Jan 23, 2024
updated 2018.05.25 ← 2017.07.12 diff May 24, 2018
updated 2017.07.12 ← 2017.07.11 diff Jul 11, 2017
updated 2017.07.11 ← 2017.06.20 diff Jul 10, 2017
new 2017.06.20 Jun 20, 2017