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regda
View on CRAN: Click
here
Download and install regda package within the R console
Install from CRAN:
install.packages("regda")
Install from Github:
library("remotes")
install_github("cran/regda")
Install by package version:
library("remotes")
install_version("regda", "1.0")
Attach the package and use:
library("regda")
Maintained by
Michail Tsagris
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2023-11-06
Latest Update: 2023-11-06
Description:
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>.
How to cite:
Michail Tsagris (2023). regda: Regularised Discriminant Analysis. R package version 1.0, https://cran.r-project.org/web/packages/regda
Previous versions and publish date:
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Other packages that cited regda R package
View regda citation profile
Other R packages that regda depends,
imports, suggests or enhances
Functions, R codes and Examples using
the regda R package
Some associated functions: rda . rda.tune . reg.mle.lda . regda-package . regmlelda.cv .
Some associated R codes: rda.R . rda.tune.R . reg.mle.lda.R . regmlelda.cv.R . Full regda package functions and examples
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