HiDimDA (0.2-4)

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High Dimensional Discriminant Analysis.

http://www.r-project.org
http://cran.r-project.org/web/packages/HiDimDA

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.

Maintainer: Antonio Pedro Duarte Silva
Author(s): Antonio Pedro Duarte Silva <psilva@porto.ucp.pt>

License: GPL (>= 3)

Uses: MASS
Reverse suggests: caret, fscaret

Released over 3 years ago.


6 previous versions

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