mht
3.1.2Multiple Hypothesis Testing for Variable Selection in High-Dimensional Linear Models
Overview
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.
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8 releases. Pick two to compare their code metrics. R releases are shown for context.
- RR 4.0.0 released · 2020-04-24
- archivedRemoved from CRAN2019-11-25request of maintainer After missing archival deadline
- RR 3.6.0 released · 2019-04-26
- RR 3.5.0 released · 2018-04-23
- RR 3.4.0 released · 2017-04-21
- RR 3.3.0 released · 2016-05-03
- RR 3.2.0 released · 2015-04-16
- 3.1.22015-03-21 · diff ↗
- RR 3.1.0 released · 2014-04-10
- 3.002014-04-04 · diff ↗
- 3.0.112014-04-04 · diff ↗
- 2.1222013-05-30 · diff ↗
- RR 3.0.0 released · 2013-04-03
- 2.0112012-05-08 · diff ↗
- 2.002012-05-08 · diff ↗
- RR 2.15.0 released · 2012-03-30
Show 5 earlier events
- RR 2.14.0 released · 2011-10-31
- RR 2.13.0 released · 2011-04-13
- 1.12011-03-15 · diff ↗
- 1.02011-03-15
- RR 2.12.0 released · 2010-10-15
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- 8
- License
- GPL-3 OSI
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