GLM.score_obs()

statsmodels.genmod.generalized_linear_model.GLM.score_obs

GLM.score_obs(params, scale=None) [source]

score first derivative of the loglikelihood for each observation.

Parameters:

Parameters:	params : ndarray parameter at which score is evaluated scale : None or float If scale is None, then the default scale will be calculated. Default scale is defined by `self.scaletype` and set in fit. If scale is not None, then it is used as a fixed scale.
Returns:	score_obs : ndarray, 2d The first derivative of the loglikelihood function evaluated at params for each observation.

params : ndarray

parameter at which score is evaluated

scale : None or float

If scale is None, then the default scale will be calculated. Default scale is defined by self.scaletype and set in fit. If scale is not None, then it is used as a fixed scale.

Returns:

score_obs : ndarray, 2d

The first derivative of the loglikelihood function evaluated at params for each observation.

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