## 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> |

BugReports: |
NA |

License: |
GPL-3 |

URL: |
NA |

NeedsCompilation: |
yes |

Materials: |
NEWS |

CRAN checks: |
mht results |

#### Downloads:

#### Reverse dependencies: