regda: Regularised Discriminant Analysis
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 |
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 |
Documentation:
Downloads:
Reverse dependencies:
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