extract_lasso_coef

Extract the lasso estimate from the output of anchored_lasso_testing().

Provides interpretable High-dimensional Mean Comparison methods (HMC). For example, users can use them to assess the difference in gene expression between two treatment groups. It is not a gene-by-gene comparison. Instead, we focus on the interplay between features and are interested in those that are predictive of the group label. The methods are valid frequentist tests and give sparse estimates indicating which features contribute to the test results.

Tianyu Zhang

High Dimensional Mean Comparison with Projection and
Cross-Fitting

extract_lasso_coef function

<dl><dt>testing_result</dt>
<dd>The output/test result list from anchored_lasso_testing().</dd></dl>

Arguments

Extract the lasso estimate from the output of anchored_lasso_testing(). — extract_lasso_coef

<dl>

<dt>testing_result</dt>
<dd>The output/test result list from anchored_lasso_testing().</dd>

</dl>

extract_lasso_coef: Extract the lasso estimate from the output of anchored_lasso_testing().

Description

Usage

Value

Arguments