mht: Multiple Hypothesis Testing for Variable Selection in
High-Dimensional Linear Models
Multiple Hypothesis Testing For Variable Selection in high dimensional linear models. This package performs variable selection with multiple hypothesis testing, either for ordered variable selection or non-ordered variable selection. In both cases, a sequential procedure is performed. It starts to test the null hypothesis "no variable is relevant"; if this hypothesis is rejected, it then tests "only the first variable is relevant", and so on until the null hypothesis is accepted.
Version: |
3.1.2 |
Depends: |
glmnet, Matrix |
Published: |
2015-03-23 |
Author: |
Florian Rohart |
Maintainer: |
Florian Rohart <florian.rohart at gmail.com> |
License: |
GPL-3 |
NeedsCompilation: |
yes |
Materials: |
NEWS |
CRAN checks: |
mht results |
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