statsmodels.genmod.families.family.Gaussian.resid_dev¶
- Gaussian.resid_dev(endog, mu, var_weights=1.0, scale=1.0)¶
The deviance residuals
- Parameters:
endog (array_like) – The endogenous response variable
mu (array_like) – The inverse of the link function at the linear predicted values.
var_weights (array_like) – 1d array of variance (analytic) weights. The default is 1.
scale (float, optional) – An optional scale argument. The default is 1.
- Returns:
resid_dev – Deviance residuals as defined below.
- Return type:
Notes
The deviance residuals are defined by the contribution D_i of observation i to the deviance as
\[resid\_dev_i = sign(y_i-\mu_i) \sqrt{D_i}\]D_i is calculated from the _resid_dev method in each family. Distribution-specific documentation of the calculation is available there.
