Package: accSDA 1.1.3

accSDA: Accelerated Sparse Discriminant Analysis

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'. <arxiv:1705.07194>). 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, <arxiv:1401.5492>). See the 'github' wiki for a more extended description.

Authors:Gudmundur Einarsson [aut, cre, trl], Line Clemmensen [aut, ths], Brendan Ames [aut], Summer Atkins [aut]

accSDA_1.1.3.tar.gz
accSDA_1.1.3.zip(r-4.5)accSDA_1.1.3.zip(r-4.4)accSDA_1.1.3.zip(r-4.3)
accSDA_1.1.3.tgz(r-4.4-any)accSDA_1.1.3.tgz(r-4.3-any)
accSDA_1.1.3.tar.gz(r-4.5-noble)accSDA_1.1.3.tar.gz(r-4.4-noble)
accSDA_1.1.3.tgz(r-4.4-emscripten)accSDA_1.1.3.tgz(r-4.3-emscripten)
accSDA.pdf |accSDA.html
accSDA/json (API)
NEWS

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

Peer review:

Bug tracker:https://github.com/gumeo/accsda/issues

On CRAN:

3.40 score 5 stars 10 scripts 339 downloads 10 exports 29 dependencies

Last updated 1 years agofrom:b58116b0b4. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 25 2024
R-4.5-winOKOct 25 2024
R-4.5-linuxOKOct 25 2024
R-4.4-winOKOct 25 2024
R-4.4-macOKOct 25 2024
R-4.3-winOKOct 25 2024
R-4.3-macOKOct 25 2024

Exports:ASDAASDABarPlotgenDatnormalizenormalizetestordASDASZVDSZVD_kFold_cvSZVDcvZVD

Dependencies:clicolorspacefansifarverggplot2gluegridExtragtableisobandlabelinglatticelifecyclemagrittrMASSMatrixmgcvmunsellnlmepillarpkgconfigR6RColorBrewerrlangscalestibbleutf8vctrsviridisLitewithr