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statsmodels.discrete.discrete_model.LogitResults.resid_pearson

static LogitResults.resid_pearson()

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.

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