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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