Poisson Regression R Squared
Overview
{% Pseudo \, R^2 = \frac{log L_{m}}{log L_i} %}
where {% L_m %} is the computed likelihood of the fitted model. and {% L_i %} is the likelihood of a model will all {% \beta_i = 0 %}
but with {% \alpha %} (the intercept) fit.
