HiDimDA: High Dimensional Discriminant Analysis

Performs linear discriminant analysis in high dimensional problems based on reliable covariance estimators for problems with (many) more variables than observations. Includes routines for classifier training, prediction, cross-validation and variable selection.

AuthorAntonio Pedro Duarte Silva <psilva@porto.ucp.pt>
Date of publication2015-10-19 08:41:33
MaintainerAntonio Pedro Duarte Silva <psilva@porto.ucp.pt>
LicenseGPL (>= 3)
Version0.2-4
http://www.r-project.org

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Questions? Problems? Suggestions? or email at ian@mutexlabs.com.

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