# statsmodels.discrete.count_model.ZeroInflatedNegativeBinomialP.loglikeobs¶

ZeroInflatedNegativeBinomialP.loglikeobs(params)

Loglikelihood for observations of Generic Zero Inflated model

Parameters: params (array-like) – The parameters of the model. loglike – The log likelihood for each observation of the model evaluated at params. See Notes ndarray

Notes

$\ln L=\ln(w_{i}+(1-w_{i})*P_{main\_model})+ \ln(1-w_{i})+L_{main\_model} where P - pdf of main model, L - loglike function of main model.$

for observations $$i=1,...,n$$