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
sf
usingd1 = sf[:, :1] * exog
d2 = sf[:, 1:2] * exog_precision
Last update:
Oct 03, 2024