statsmodels.othermod.betareg.BetaModel.score_factor¶
- BetaModel.score_factor(params, endog=None)[source]¶
 Derivative of loglikelihood function w.r.t. linear predictors.
This needs to be multiplied with the exog to obtain the score_obs.
- Parameters:¶
 - params
ndarray Parameter at which score is evaluated.
- params
 - Returns:¶
 - score_factor
ndarray, 2-D A 2d weight vector used in the calculation of the score_obs.
- score_factor
 
Notes
The score_obs can be obtained from score_factor
sfusingd1 = sf[:, :1] * exog
d2 = sf[:, 1:2] * exog_precision
  
    
      Last update:
      Jun 10, 2024