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.

Package details

AuthorAntonio Pedro Duarte Silva <psilva@ucp.pt>
MaintainerAntonio Pedro Duarte Silva <psilva@ucp.pt>
LicenseGPL (>= 3)
Version0.2-6
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("HiDimDA")

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HiDimDA documentation built on June 22, 2024, 7:22 p.m.