statsmodels.genmod.families.family.Poisson.resid_dev¶

Poisson.resid_dev(endog, mu, scale=1.0)[source]¶

Poisson deviance residual

Parameters:

endog : array-like

Endogenous response variable

mu : array-like

Fitted mean response variable

scale : float, optional

An optional argument to divide the residuals by scale. The default is 1.

Returns:

resid_dev : array

Deviance residuals as defined below

Notes

$resid\_dev_i = sign(Y_i - \mu_i) * \sqrt{2 * (Y_i * \log(Y_i / \mu_i) - (Y_i - \mu_i))} / scale$