def _estimate_scale(self, resid):
"""
Estimates the scale based on the option provided to the fit method.
"""
if isinstance(self.scale_est, str):
if self.scale_est.lower() == 'mad':
return scale.mad(resid)
if self.scale_est.lower() == 'stand_mad':
return scale.stand_mad(resid)
elif isinstance(self.scale_est, scale.HuberScale):
return self.scale_est(self.df_resid, self.nobs, resid)
else:
return scale.scale_est(self, resid)**2
def _estimate_scale(self, resid):
"""
Estimates the scale based on the option provided to the fit method.
"""
if isinstance(self.scale_est, str):
if self.scale_est.lower() == 'mad':
return scale.mad(resid, center=0)
else:
raise ValueError("Option %s for scale_est not understood" %
self.scale_est)
elif isinstance(self.scale_est, scale.HuberScale):
return self.scale_est(self.df_resid, self.nobs, resid)
else:
return scale.scale_est(self, resid)**2
