ort arbitrarily sized test/training splits and can be easily implemented in Stan. The drawback is that the variance of the resulting estimate is higher than with a balanced block partition.</p>
<section id="stan-implementation-with-random-folds" class="level3 unnumbered">
<h3 class="unnumbered anchored" data-anchor-id="stan-implementation-with-random-folds">Stan implementation with random folds</h3>
<p>For the simple linear regression model, randomized cross-validation can be implemented in a single model. 