npwbs
Nonparametric Multiple Change Point Detection Using WBS
Implements the procedure from G. J. Ross (2021) - "Nonparametric Detection of Multiple Location-Scale Change Points via Wild Binary Segmentation" doi:10.48550/arXiv.2107.01742. This uses a version of Wild Binary Segmentation to detect multiple location-scale (i.e. mean and/or variance) change points in a sequence of univariate observations, with a strict control on the probability of incorrectly detecting a change point in a sequence which does not contain any.
- Version0.2.0
- R versionunknown
- LicenseGPL-3
- Needs compilation?No
- npwbs citation info
- Last release07/06/2021
Team
Gordon J. Ross
Insights
Last 30 days
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Last 365 days
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Data provided by CRAN