statsmodels.discrete.count_model.ZeroInflatedNegativeBinomialP.loglike

ZeroInflatedNegativeBinomialP.loglike(params)

Loglikelihood of Generic Zero Inflated model.

Parameters:
paramsarray_like

The parameters of the model.

Returns:
loglikefloat

The log-likelihood function of the model evaluated at params. See notes.

Notes

\[\ln L=\sum_{y_{i}=0}\ln(w_{i}+(1-w_{i})*P_{main\_model})+ \sum_{y_{i}>0}(\ln(1-w_{i})+L_{main\_model}) where P - pdf of main model, L - loglike function of main model.\]

Last update: Oct 03, 2024