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.
| Version: |
1.1.2 |
| Depends: |
R (≥ 3.2) |
| Imports: |
MASS (≥ 7.3.45), ggplot2 (≥ 2.1.0), ggthemes (≥ 3.2.0), grid (≥ 3.2.2), gridExtra (≥ 2.2.1) |
| Published: |
2022-09-05 |
| Author: |
Gudmundur Einarsson [aut, cre, trl],
Line Clemmensen [aut, ths],
Brendan Ames [aut],
Summer Atkins [aut] |
| Maintainer: |
Gudmundur Einarsson <gumeo140688 at gmail.com> |
| BugReports: |
https://github.com/gumeo/accSDA/issues |
| License: |
GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| URL: |
https://github.com/gumeo/accSDA/wiki |
| NeedsCompilation: |
no |
| Citation: |
accSDA citation info |
| Materials: |
README NEWS |
| CRAN checks: |
accSDA results |
Documentation:
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