three_changes: three_changes
In BCT: Bayesian Context Trees for Discrete Time Series
three_changes R Documentation
three_changes
Description
This dataset contains synthetic-generated data. The sequence has three change-points located at 2500, 3500 and 4000.
The tree models and associated parameters are chosen to be quite similar, so that the segmentation problem is nontrivial.
Usage
three_changes
Format
An object of class "character".
References
V. Lungu, I. Papageorgiou and I. Kontoyiannis. Change-point Detection and Segmentation of Discrete Data using Bayesian Context Trees. arxiv.2203.04341
(Segmentation)
BCT documentation built on May 12, 2022, 5:06 p.m.
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| three_changes | R Documentation |
three_changes
Description
This dataset contains synthetic-generated data. The sequence has three change-points located at 2500, 3500 and 4000. The tree models and associated parameters are chosen to be quite similar, so that the segmentation problem is nontrivial.
Usage
three_changes
Format
An object of class "character".
References
V. Lungu, I. Papageorgiou and I. Kontoyiannis. Change-point Detection and Segmentation of Discrete Data using Bayesian Context Trees. arxiv.2203.04341 (Segmentation)
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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