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.
Version: |
0.2-6 |
Depends: |
R (≥ 2.10.0) |
Imports: |
splines |
Suggests: |
MASS |
Published: |
2024-02-25 |
DOI: |
10.32614/CRAN.package.HiDimDA |
Author: |
Antonio Pedro Duarte Silva |
Maintainer: |
Antonio Pedro Duarte Silva <psilva at ucp.pt> |
License: |
GPL (≥ 3) |
NeedsCompilation: |
yes |
Materials: |
ChangeLog |
CRAN checks: |
HiDimDA results [issues need fixing before 2024-10-23] |
Documentation:
Downloads:
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