Provides an efficient framework for high-dimensional linear and diagonal discriminant analysis with variable selection. The classifier is trained using James-Stein-type shrinkage estimators and predictor variables are ranked using correlation-adjusted t-scores (CAT scores). Variable selection error is controlled using false non-discovery rates or higher criticism.
| Version: | 1.3.9 |
| Depends: | R (≥ 3.4.0), entropy (≥ 1.3.2), corpcor (≥ 1.6.10), fdrtool (≥ 1.2.18) |
| Imports: | graphics, stats, utils |
| Suggests: | crossval |
| Enhances: | care |
| Published: | 2025-04-08 |
| Author: | Miika Ahdesmaki [aut], Verena Zuber [aut], Sebastian Gibb [aut], Korbinian Strimmer [aut, cre] |
| Maintainer: | Korbinian Strimmer <strimmerlab at gmail.com> |
| License: | GPL (≥ 3) |
| URL: | https://strimmerlab.github.io/software/sda/ |
| NeedsCompilation: | no |
| Materials: | NEWS |
| In views: | MachineLearning |
| CRAN checks: | sda results |
| Reference manual: | sda.pdf |
| Package source: | sda_1.3.9.tar.gz |
| Windows binaries: | r-devel: sda_1.3.8.zip, r-release: sda_1.3.8.zip, r-oldrel: sda_1.3.8.zip |
| macOS binaries: | r-devel (arm64): sda_1.3.8.tgz, r-release (arm64): sda_1.3.8.tgz, r-oldrel (arm64): sda_1.3.8.tgz, r-devel (x86_64): sda_1.3.8.tgz, r-release (x86_64): sda_1.3.8.tgz, r-oldrel (x86_64): sda_1.3.8.tgz |
| Old sources: | sda archive |
| Reverse depends: | st |
| Reverse imports: | FADA |
| Reverse suggests: | crossval, discrim, flowml, fscaret, mlr, tidyAML |
| Reverse enhances: | care |
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