sda v1.3.7
0
Monthly downloads
Shrinkage Discriminant Analysis and CAT Score Variable Selection
Provides an efficient framework for
high-dimensional linear and diagonal discriminant analysis with
variable selection. The classifier is trained using James-Stein-type
shrinkage estimators and predictor variables are ranked using
correlation-adjusted t-scores (CAT scores). Variable selection error
is controlled using false non-discovery rates or higher criticism.
Functions in sda
Name | Description | |
predict.sda | Shrinkage Discriminant Analysis 3: Prediction Step | |
khan2001 | Childhood Cancer Study of Khan et al. (2001) | |
sda-package | The sda Package | |
catscore | Estimate CAT Scores and t-Scores | |
sda-internal | Internal sda functions | |
singh2002 | Prostate Cancer Study of Singh et al. (2002) | |
centroids | Group Centroids and (Pooled) Variances | |
sda | Shrinkage Discriminant Analysis 2: Training Step | |
sda.ranking | Shrinkage Discriminant Analysis 1: Predictor Ranking | |
No Results! |
Last month downloads
Details
Date | 2015-07-08 |
License | GPL (>= 3) |
URL | http://strimmerlab.org/software/sda/ |
Packaged | 2015-07-08 13:33:12 UTC; strimmer |
NeedsCompilation | no |
Repository | CRAN |
Date/Publication | 2015-07-08 16:28:41 |
depends | base (>= 3.0.2) , corpcor (>= 1.6.8) , entropy (>= 1.2.1) , fdrtool (>= 1.2.15) , R (>= 3.0.2) |
suggests | crossval (>= 1.0.3) |
imports | graphics , stats , utils |
Contributors | Korbinian Strimmer, Sebastian Gibb, Verena Zuber, Miika Ahdesmaki |
Include our badge in your README
[](http://www.rdocumentation.org/packages/sda)