HiDimDA: High Dimensional Discriminant Analysis
Version 0.2-4

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.

Package details

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)
URL http://www.r-project.org
Package repositoryView on CRAN
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HiDimDA documentation built on May 29, 2017, 2:19 p.m.