penaltyLearning
Penalty Learning
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.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
2024.9.3 |
rolling linux/jammy R-4.5 | penaltyLearning_2024.9.3.tar.gz |
2.8 MiB |
2024.9.3 |
rolling linux/noble R-4.5 | penaltyLearning_2024.9.3.tar.gz |
2.8 MiB |
2024.9.3 |
rolling source/ R- | penaltyLearning_2024.9.3.tar.gz |
2.7 MiB |
2024.9.3 |
latest linux/jammy R-4.5 | penaltyLearning_2024.9.3.tar.gz |
2.8 MiB |
2024.9.3 |
latest linux/noble R-4.5 | penaltyLearning_2024.9.3.tar.gz |
2.8 MiB |
2024.9.3 |
latest source/ R- | penaltyLearning_2024.9.3.tar.gz |
2.7 MiB |
2024.9.3 |
2026-04-26 source/ R- | penaltyLearning_2024.9.3.tar.gz |
2.7 MiB |
2024.9.3 |
2026-04-23 source/ R- | penaltyLearning_2024.9.3.tar.gz |
2.7 MiB |
2024.9.3 |
2026-04-09 windows/windows R-4.5 | penaltyLearning_2024.9.3.zip |
2.8 MiB |
2024.9.3 |
2025-04-20 source/ R- | penaltyLearning_2024.9.3.tar.gz |
2.7 MiB |
Dependencies (latest)
Imports
- data.table (>= 1.9.8)
- ggplot2
Suggests
- neuroblastoma
- jointseg
- testthat
- future
- future.apply
- directlabels (>= 2017.03.31)