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.

Documentation

Manual: HiDimDA.pdf
Vignette: None available.

Maintainer: Antonio Pedro Duarte Silva <psilva at porto.ucp.pt>

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

Install package and any missing dependencies by running this line in your R console:

install.packages("HiDimDA")

Depends R (>= 2.10.0)
Imports splines
Suggests MASS
Enhances
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Package HiDimDA
Materials
URL http://www.r-project.org
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Version 0.2-4
Published 2015-10-19
License GPL (>= 3)
BugReports
SystemRequirements
NeedsCompilation yes
Citation
CRAN checks HiDimDA check results
Package source HiDimDA_0.2-4.tar.gz