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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.
Getting started
Browse package contents
Package details |
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| Author | Antonio Pedro Duarte Silva <psilva@ucp.pt> |
| Maintainer | Antonio Pedro Duarte Silva <psilva@ucp.pt> |
| License | GPL (>= 3) |
| Version | 0.2-6 |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
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