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accSDA  

Accelerated Sparse Discriminant Analysis
View on CRAN: Click here


Download and install accSDA package within the R console
Install from CRAN:
install.packages("accSDA")

Install from Github:
library("remotes")
install_github("cran/accSDA")

Install by package version:
library("remotes")
install_version("accSDA", "1.1.3")



Attach the package and use:
library("accSDA")
Maintained by
Gudmundur Einarsson
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2017-08-24
Latest Update: 2024-03-06
Description:
Implementation of sparse linear discriminant analysis, which is a supervised classification method for multiple classes. Various novel optimization approaches to this problem are implemented including alternating direction method of multipliers ('ADMM'), proximal gradient (PG) and accelerated proximal gradient ('APG') (See Atkins 'et al'. ). Functions for performing cross validation are also supplied along with basic prediction and plotting functions. Sparse zero variance discriminant analysis ('SZVD') is also included in the package (See Ames and Hong, ). See the 'github' wiki for a more extended description.
How to cite:
Gudmundur Einarsson (2017). accSDA: Accelerated Sparse Discriminant Analysis. R package version 1.1.3, https://cran.r-project.org/web/packages/accSDA. Accessed 21 Nov. 2024.
Previous versions and publish date:
1.0.0 (2017-08-24 13:53), 1.1.1 (2022-04-06 01:12), 1.1.2 (2022-09-05 16:50)
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