L2hdchange
L2 Inference for Change Points in High-Dimensional Time Series
Provides a method for detecting multiple change points in high-dimensional time series, targeting dense or spatially clustered signals. See Li et al. (2023) "L2 Inference for Change Points in High-Dimensional Time Series via a Two-Way MOSUM". arXiv preprint doi:10.48550/arXiv.2208.13074.
- Version1.0
- R version≥ 2.10
- LicenseGPL (≥ 3)
- Needs compilation?No
- Last release07/20/2023
Team
Rui Lin
Wei Biao Wu
Show author detailsRolesAuthorJiaqi Li
Show author detailsRolesAuthorLikai Chen
Show author detailsRolesAuthorWeining Wang
Show author detailsRolesAuthor
Insights
Last 30 days
This package has been downloaded 198 times in the last 30 days. More than a random curiosity, but not quite a blockbuster. Still, it's gaining traction! The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 6 times.
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
This package has been downloaded 2,521 times in the last 365 days. That's enough downloads to impress a room full of undergrads. A commendable achievement indeed. The day with the most downloads was Jul 23, 2024 with 30 downloads.
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