Nothing
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.
Getting started
Browse package contents
Package details |
|
|---|---|
| Author | Florian Rohart |
| Maintainer | Florian Rohart <florian.rohart@gmail.com> |
| License | GPL-3 |
| Version | 3.1.2 |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
|
Try the mht package in your browser
Any scripts or data that you put into this service are public.
