/Statsmodels

# statsmodels.discrete.discrete_model.BinaryResults.resid_pearson

BinaryResults.resid_pearson() [source]

Pearson residuals

#### Notes

Pearson residuals are defined to be

$r_j = \frac{(y - M_jp_j)}{\sqrt{M_jp_j(1-p_j)}}$

where $$p_j=cdf(X\beta)$$ and $$M_j$$ is the total number of observations sharing the covariate pattern $$j$$.

For now $$M_j$$ is always set to 1.