Performs Linear Discriminant Analysis in High Dimensional problems based on covariance estimators derived from low dimensional factor models. Includes routines for classifier training, prediction, cross-validation and variable selection.
| Version: | 0.1-1 |
| Depends: | R (≥ 2.10.0), locfdr, splines |
| Suggests: | MASS |
| Published: | 2011-06-15 |
| Author: | Antonio Pedro Duarte Silva |
| Maintainer: | Antonio Pedro Duarte Silva <psilva at porto.ucp.pt> |
| License: | GPL (≥ 3) |
| URL: | http://www.r-project.org |
| CRAN checks: | HiDimDA results |
| Package source: | HiDimDA_0.1-1.tar.gz |
| MacOS X binary: | HiDimDA_0.1-1.tgz |
| Windows binary: | HiDimDA_0.1-1.zip |
| Reference manual: | HiDimDA.pdf |
| News/ChangeLog: | ChangeLog |
| Old sources: | HiDimDA archive |