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.