not
Narrowest-Over-Threshold Change-Point Detection
Provides efficient implementation of the Narrowest-Over-Threshold methodology for detecting an unknown number of change-points occurring at unknown locations in one-dimensional data following 'deterministic signal + noise' model. Currently implemented scenarios are: piecewise-constant signal, piecewise-constant signal with a heavy-tailed noise, piecewise-linear signal, piecewise-quadratic signal, piecewise-constant signal and with piecewise-constant variance of the noise. For details, see Baranowski, Chen and Fryzlewicz (2019) doi:10.1111/rssb.12322.
- Version1.6
- R versionunknown
- LicenseGPL-2
- Needs compilation?Yes
- Last release09/23/2024
Team
Yining Chen
Piotr Fryzlewicz
Show author detailsRolesAuthorRafal Baranowski
Show author detailsRolesAuthor
Insights
Last 30 days
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