hetNSC: Heteroscedastic Nearest Shrunken Centroid Classification
Nearest shrunken centroid (NSC) classifiers for high-dimensional,
low-sample-size data such as gene expression. Implements the original
homoscedastic NSC with soft thresholding (Prediction Analysis of
Microarrays; Tibshirani et al. 2002 <doi:10.1073/pnas.082099299>), its
hard- and order-thresholding versions (Sahtout, Wang and Ghimire 2024
<doi:10.1080/03610918.2022.2047201>), and
the heteroscedastic extension of Sahtout and Wang that uses class-specific
variances in both the test statistic and the discriminant function
(methods STh3, HTh3 and OTh3). The thresholding parameter is selected by a
refined ("deep") cross-validation search. Also provides the simulation
design, per-class performance metrics and the relative-heterogeneity
diagnostic used in the paper.
| Version: |
0.1.0 |
| Depends: |
R (≥ 3.5.0) |
| Imports: |
MASS, stats |
| Suggests: |
testthat (≥ 3.0.0), knitr, rmarkdown, pamr |
| Published: |
2026-11-07 |
| DOI: |
10.32614/CRAN.package.hetNSC (may not be active yet) |
| Author: |
Haiyan Wang [aut, cre],
Mohammad Omar Sahtout [aut],
Trevor Hastie [ctb] (Author of the 'pamr' code this package is derived
from),
Robert Tibshirani [ctb] (Author of the 'pamr' code this package is
derived from),
Balasubramanian Narasimhan [ctb] (Author of the 'pamr' code this
package is derived from),
Gilbert Chu [ctb] (Author of the 'pamr' code this package is derived
from) |
| Maintainer: |
Haiyan Wang <hwang at ksu.edu> |
| License: |
GPL-2 |
| NeedsCompilation: |
no |
| Citation: |
hetNSC citation info |
| Materials: |
README, NEWS |
| CRAN checks: |
hetNSC results |
Documentation:
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