Package: regda 1.0

Michail Tsagris
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>.
Authors:
regda_1.0.tar.gz
regda_1.0.tar.gz(r-4.5-noble)regda_1.0.tar.gz(r-4.4-noble)
regda_1.0.tgz(r-4.4-emscripten)regda_1.0.tgz(r-4.3-emscripten)
regda.pdf |regda.html✨
regda/json (API)
# Install 'regda' in R: |
install.packages('regda', repos = 'https://cloud.r-project.org') |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 1 years agofrom:a3b53779de. Checks:3 OK. Indexed: yes.
Target | Result | Latest binary |
---|---|---|
Doc / Vignettes | OK | Mar 30 2025 |
R-4.5-linux | OK | Mar 30 2025 |
R-4.4-linux | OK | Mar 30 2025 |
Exports:rdarda.tunereg.mle.ldaregmlelda.cv
Dependencies:codetoolsdoParallelforeachiteratorsRcppRcppArmadilloRcppParallelRfastRfast2Rnanoflannzigg
Citation
To cite package ‘regda’ in publications use:
Tsagris M (2023). regda: Regularised Discriminant Analysis. R package version 1.0, https://CRAN.R-project.org/package=regda.
Corresponding BibTeX entry:
@Manual{, title = {regda: Regularised Discriminant Analysis}, author = {Michail Tsagris}, year = {2023}, note = {R package version 1.0}, url = {https://CRAN.R-project.org/package=regda}, }