statsmodels.genmod.families.family.Gaussian.resid_anscombe¶

Gaussian.resid_anscombe(endog, mu, var_weights=1.0, scale=1.0)[source]¶

The Anscombe residuals

Parameters:¶

endog : ndarray¶

The endogenous response variable

mu : ndarray¶

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 argument to divide the residuals by sqrt(scale). The default is 1.

Returns:¶

resid_anscombe – The Anscombe residuals for the Gaussian family defined below

Return type:¶

ndarray

Notes

For the Gaussian distribution, Anscombe residuals are the same as deviance residuals.

\[resid\_anscombe_i = (Y_i - \mu_i) / \sqrt{scale} * \sqrt(var\_weights)\]