statsmodels.discrete.count_model.ZeroInflatedNegativeBinomialP.loglike
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ZeroInflatedNegativeBinomialP.loglike(params)
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Loglikelihood of Generic Zero Inflated model
Parameters: params (array-like) – The parameters of the model. Returns: loglike – The log-likelihood function of the model evaluated at params
. See notes.Return type: float Notes
\[\ln L=\sum_{y_{i}=0}\ln(w_{i}+(1-w_{i})*P_{main\_model})+ \sum_{y_{i}>0}(\ln(1-w_{i})+L_{main\_model}) where P - pdf of main model, L - loglike function of main model.\]
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© 2006–2008 Scipy Developers
© 2006 Jonathan E. Taylor
Licensed under the 3-clause BSD License.
http://www.statsmodels.org/stable/generated/statsmodels.discrete.count_model.ZeroInflatedNegativeBinomialP.loglike.html