plot.svem_significance_test

Plots the Mahalanobis-like distances for original and permuted data from
one or more SVEM significance test results returned by
<code>svem_significance_test_parallel()</code>.

Tools for fitting self-validated ensemble models (SVEM; Lemkus et al. (2021) <doi:10.1016/j.chemolab.2021.104439>) in small-sample design-of-experiments and related workflows, using elastic net and relaxed elastic net regression via 'glmnet' (Friedman et al. (2010) <doi:10.18637/jss.v033.i01>). Fractional random-weight bootstraps with anti-correlated validation copies are used to tune penalty paths by validation-weighted AIC/BIC. Supports Gaussian and binomial responses, deterministic expansion helpers for shared factor spaces, prediction with bootstrap uncertainty, and a random-search optimizer that respects mixture constraints and combines multiple responses via desirability functions. Also includes a permutation-based whole-model test for Gaussian SVEM fits (Karl (2024) <doi:10.1016/j.chemolab.2024.105122>). Package code was drafted with assistance from generative AI tools.

Andrew T Karl

SVEMnet

Self-Validated Ensemble Models with Lasso and Relaxed Elastic
Net Regression

Andrew T. Karl

plot.svem_significance_test function

<dl><dt>x</dt>
<dd>An object of class <code>svem_significance_test</code>.</dd>
<dt>...</dt>
<dd>Optional additional <code>svem_significance_test</code> objects to include
in the same plot.</dd>
<dt>labels</dt>
<dd>Optional character vector of labels for the responses. If not
provided, the function uses inferred response names (from <code>data_d$Response</code>
or <code>x$response</code>) and ensures uniqueness.</dd></dl>

Arguments

Plot SVEM significance test results for one or more responses — plot.svem_significance_test

<dl>

<dt>x</dt>
<dd>An object of class <code>svem_significance_test</code>.</dd>


<dt>...</dt>
<dd>Optional additional <code>svem_significance_test</code> objects to include
in the same plot.</dd>


<dt>labels</dt>
<dd>Optional character vector of labels for the responses. If not
provided, the function uses inferred response names (from <code>data_d$Response</code>
or <code>x$response</code>) and ensures uniqueness.</dd>

</dl>

plot.svem_significance_test: Plot SVEM significance test results for one or more responses

Description

Usage

Value

Arguments

Details