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.
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curl https://depscope.dev/api/check/conda/r-sdaFirst published · 2021-05-24 15:28:06.788000+00:00
Last updated · 2025-09-15 10:30:26.425000+00:00