The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.
Implements the methodology of "Cannings, T. I. and Samworth, R. J. (2017) Random-projection ensemble classification, J. Roy. Statist. Soc., Ser. B. (with discussion), 79, 959–1035". The random projection ensemble classifier is a general method for classification of high-dimensional data, based on careful combination of the results of applying an arbitrary base classifier to random projections of the feature vectors into a lower-dimensional space. The random projections are divided into non-overlapping blocks, and within each block the projection yielding the smallest estimate of the test error is selected. The random projection ensemble classifier then aggregates the results of applying the base classifier on the selected projections, with a data-driven voting threshold to determine the final assignment.
| Version: | 0.5 |
| Depends: | R (≥ 3.4.0), MASS, parallel |
| Imports: | class, stats |
| Published: | 2021-02-24 |
| Author: | Timothy I. Cannings and Richard J. Samworth |
| Maintainer: | Timothy I. Cannings <timothy.cannings at ed.ac.uk> |
| License: | GPL-3 |
| URL: | https://arxiv.org/abs/1504.04595, https://www.maths.ed.ac.uk/~tcannings/ |
| NeedsCompilation: | no |
| CRAN checks: | RPEnsemble results |
| Reference manual: | RPEnsemble.pdf |
| Package source: | RPEnsemble_0.5.tar.gz |
| Windows binaries: | r-devel: RPEnsemble_0.5.zip, r-release: RPEnsemble_0.5.zip, r-oldrel: RPEnsemble_0.5.zip |
| macOS binaries: | r-release (arm64): RPEnsemble_0.5.tgz, r-oldrel (arm64): RPEnsemble_0.5.tgz, r-release (x86_64): RPEnsemble_0.5.tgz, r-oldrel (x86_64): RPEnsemble_0.5.tgz |
| Old sources: | RPEnsemble archive |
Please use the canonical form https://CRAN.R-project.org/package=RPEnsemble to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.