Optimal hard thresholding of singular values. The procedure adaptively estimates the best singular value threshold under unknown noise characteristics. The threshold chosen by 'ScreeNOT' is optimal (asymptotically, in the sense of minimum Frobenius error) under the the so-called "Spiked model" of a low-rank matrix observed in additive noise. In contrast to previous works, the noise is not assumed to be i.i.d. or white; it can have an essentially arbitrary and unknown correlation structure, across either rows, columns or both. 'ScreeNOT' is proposed to practitioners as a mathematically solid alternative to Cattell's ever-popular but vague Scree Plot heuristic from 1966. If you use this package, please cite our paper: David L. Donoho, Matan Gavish and Elad Romanov (2023). "ScreeNOT: Exact MSE-optimal singular value thresholding in correlated noise." Annals of Statistics, 2023 (To appear). <doi:10.48550/arXiv.2009.12297>.
| Version: | 0.1.0 |
| Published: | 2023-02-27 |
| DOI: | 10.32614/CRAN.package.ScreeNOT |
| Author: | Elad Romanov [aut, cre] |
| Maintainer: | Elad Romanov <elad.romanov at gmail.com> |
| License: | MIT + file LICENSE |
| NeedsCompilation: | no |
| CRAN checks: | ScreeNOT results |
| Reference manual: | ScreeNOT.html , ScreeNOT.pdf |
| Package source: | ScreeNOT_0.1.0.tar.gz |
| Windows binaries: | r-devel: ScreeNOT_0.1.0.zip, r-release: ScreeNOT_0.1.0.zip, r-oldrel: ScreeNOT_0.1.0.zip |
| macOS binaries: | r-release (arm64): ScreeNOT_0.1.0.tgz, r-oldrel (arm64): ScreeNOT_0.1.0.tgz, r-release (x86_64): ScreeNOT_0.1.0.tgz, r-oldrel (x86_64): ScreeNOT_0.1.0.tgz |
| Reverse imports: | learner |
Please use the canonical form https://CRAN.R-project.org/package=ScreeNOT to link to this page.
Need a high-speed mirror for your open-source project?
Contact our mirror admin team at info@clientvps.com.
This archive is provided as a free public service to the community.
Proudly supported by infrastructure from VPSPulse , RxServers , BuyNumber , UnitVPS , OffshoreName and secure payment technology by ArionPay.