th the variance (<span class="math inline">\(v\)</span>) being significantly larger than the
mean. This biological phenomenon, known as overdispersion, can be
addressed within a model in various ways. One approach is to employ
quasi-Poisson regression, which assumes <span class="math inline">\(v=\sigma\lambda\)</span>, or to use negative
binomial regression (not implemented yet), which assumes <span class="math inline">\(v=\lambda+\lambda^2/\theta\)</span>, where both
<span class="math inline">\(\sigma\)</s