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:Michail Tsagris [aut, cre]

regda_1.0.tar.gz
regda_1.0.tar.gz(r-4.7-any)regda_1.0.tar.gz(r-4.6-any)
regda_1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html
card.svg |card.png
regda/json (API)

# Install 'regda' in R:
install.packages('regda', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.00 score 193 downloads 4 exports 12 dependencies

Last updated from:a3b53779de. Checks:4 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK121
source / vignettesOK193
linux-release-x86_64OK121
wasm-releaseOK103

Exports:rdarda.tunereg.mle.ldaregmlelda.cv

Dependencies:BHcodetoolsdoParallelforeachiteratorsRcppRcppArmadilloRcppParallelRfastRfast2Rnanoflannzigg