Package: penaltyLearning 2024.1.25

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.

Authors:Toby Dylan Hocking

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Bug tracker:https://github.com/tdhock/penaltylearning/issues

On CRAN:

30 exports 16 stars 2.23 score 29 dependencies 2 dependents 135 scripts 1.3k downloads

Last updated 8 months agofrom:52e62d4e20. Checks:OK: 9. Indexed: yes.

Exports:change.colorschange.labelschangeLabelcheck_features_targetscheck_target_predcoef.IntervalRegressionfeatureMatrixfeatureVectorgeom_tallrectGeomTallRectIntervalRegressionCVIntervalRegressionCVmarginIntervalRegressionInternalIntervalRegressionRegularizedIntervalRegressionUnregularizedlabelErrorlargestContinuousMinimumClargestContinuousMinimumRmodelSelectionmodelSelectionCmodelSelectionRplot.IntervalRegressionpredict.IntervalRegressionprint.IntervalRegressionROChangesquared.hingetargetIntervalResidualtargetIntervalROCtargetIntervalstheme_no_space

Dependencies:clicolorspacedata.tablefansifarverggplot2gluegtableisobandlabelinglatticelifecyclemagrittrMASSMatrixmgcvmunsellnlmepillarpkgconfigR6RColorBrewerrlangscalestibbleutf8vctrsviridisLitewithr