Edit
In Place Editing Advanced Editing

Poisson.jac()

statsmodels.discrete.discrete_model.Poisson.jac

Poisson.jac(*args, **kwds)

jac is deprecated, use score_obs instead! Use score_obs method. jac will be removed in 0.7

Poisson model Jacobian of the log-likelihood for each observation
Parameters:

params : array-like

The parameters of the model
Returns:

score : ndarray (nobs, k_vars)

The score vector of the model evaluated at params

Notes

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

for observations i=1,...,n

where the loglinear model is assumed

\ln\lambda_{i}=x_{i}\beta

doc_statsmodels
doc_statsmodels
2017-01-18 16:13:52
Comments
Leave a Comment

Please login to continue.