riboflavin

Dataset of riboflavin production by Bacillus subtilis containing n = 71 observations of p = 4088
predictors (gene expressions) and a one-dimensional response (riboflavin production)

Thresholding based tests for null hypothesis of the form A beta =c, and the Quantile Universal Threshold (QUT) for lasso regularization of Generalized Linear Models (GLM) and square-root lasso to obtain a sparse model with a good compromise between high true positive rate and low false discovery rate. Giacobino et al. (2017) <doi:10.1214/17-EJS1366>. Sardy et al. (2017) <arXiv:1708.02908>.

Jairo Diaz-Rodriguez

Quantile Universal Threshold

Sylvain Sardy

Caroline Giacobino

Nick Hengartner

riboflavin function

A data frame with 71 observations on the following 2 variables.<dl class="dl-horizontal">
 <dt><code>y</code></dt><dd>a numeric vector</dd>
 <dt><code>x</code></dt><dd>a matrix with 4088 columns</dd>
 </dl>

Format

Riboflavin data set from Buhlmann et al. (2013) — riboflavin

A data frame with 71 observations on the following 2 variables.<dl class='dl-horizontal'>
 <dt><code>y</code></dt><dd>a numeric vector</dd>
 <dt><code>x</code></dt><dd>a matrix with 4088 columns</dd>
 </dl>

riboflavin: Riboflavin data set from Buhlmann et al. (2013)

Description

Usage

Arguments

Format

References

Examples