statsmodels.discrete.discrete_model.Logit.score_obs

Logit.score_obs(params) [source]

Logit model Jacobian of the log-likelihood for each observation

Parameters:	params (array-like) – The parameters of the model
Returns:	jac – The derivative of the loglikelihood for each observation evaluated at params.
Return type:	array-like

Notes

\[\frac{\partial\ln L_{i}}{\partial\beta}=\left(y_{i}-\Lambda_{i}\right)x_{i}\]

for observations \(i=1,...,n\)