together with the gradients on the unconstrained scale and
log probabilities for all parameters in the model.</p>
<p>To see how this works, we show snippets of the output file resulting from the following command:</p>
<pre><code>./bernoulli sample save_warmup=1 num_warmup=200 num_samples=100 \
            data file=bernoulli.data.json \
            output file=bernoulli_samples.csv</code></pre>
<div id="sampler-stan-csv-output-file" class="section level3" number="19.2.1">
<h3><span class="header-section-num