Implementations of algorithms from Learning Sparse Penalties for Change-point Detection using Max Margin Interval Regression, by Hocking, Rigaill, Vert, Bach < http://proceedings.mlr.press/v28/hocking13.html> published in proceedings of ICML2013.
It appears you don't have a PDF plugin for this browser. You can click here to download the reference manual.
2024.9.3 by Toby Dylan Hocking, 2 years ago
https://github.com/tdhock/penaltyLearning
Report a bug at https://github.com/tdhock/penaltyLearning/issues
Browse source code at https://github.com/cran/penaltyLearning
Authors: Toby Dylan Hocking [aut, cre]
Documentation: PDF Manual
GPL-3 license
Imports data.table, ggplot2
Suggests neuroblastoma, jointseg, testthat, future, future.apply, directlabels
Imported by PeakSegJoint, PeakSegOptimal.
Suggested by PeakSegDP, aum, binsegRcpp, gfpop, ggchangepoint.
See at CRAN