High-Performance Open-Source Archive
Regularised discriminant analysis functions. The classical regularised discriminant analysis proposed by Friedman in 1989, including cross-validation, of which the linear and quadratic discriminant analyses are special cases. Further, the regularised maximum likelihood linear discriminant analysis, including cross-validation. References: Friedman J.H. (1989): "Regularized Discriminant Analysis". Journal of the American Statistical Association 84(405): 165–175. <doi:10.2307/2289860>. Friedman J., Hastie T. and Tibshirani R. (2009). "The elements of statistical learning", 2nd edition. Springer, Berlin. <doi:10.1007/978-0-387-84858-7>. Tsagris M., Preston S. and Wood A.T.A. (2016). "Improved classification for compositional data using the alpha-transformation". Journal of Classification, 33(2): 243–261. <doi:10.1007/s00357-016-9207-5>.
| Version: | 1.0 |
| Depends: | R (≥ 4.0) |
| Imports: | doParallel, foreach, parallel, Rfast, Rfast2, stats |
| Published: | 2023-11-06 |
| DOI: | 10.32614/CRAN.package.regda |
| Author: | Michail Tsagris [aut, cre] |
| Maintainer: | Michail Tsagris <mtsagris at uoc.gr> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: | no |
| CRAN checks: | regda results |
| Reference manual: | regda.html , regda.pdf |
| Package source: | regda_1.0.tar.gz |
| Windows binaries: | r-devel: regda_1.0.zip, r-release: regda_1.0.zip, r-oldrel: regda_1.0.zip |
| macOS binaries: | r-release (arm64): regda_1.0.tgz, r-oldrel (arm64): regda_1.0.tgz, r-release (x86_64): regda_1.0.tgz, r-oldrel (x86_64): regda_1.0.tgz |
Please use the canonical form https://CRAN.R-project.org/package=regda to link to this page.
Need mirroring services?
Contact our team at info@vpspulse.com.
Mirror powered by VPSpulse
Infrastructure sponsored by VPSPulse & Secure Payments by ArionPay.