statsmodels.discrete.count_model.GenericZeroInflated.loglikeobs

GenericZeroInflated.loglikeobs(params) [source]

Loglikelihood for observations of Generic Zero Inflated model

Parameters: params (array-like) – The parameters of the model.
Returns: loglike – The log likelihood for each observation of the model evaluated at params. See Notes
Return type: 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 \(i=1,...,n\)

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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.GenericZeroInflated.loglikeobs.html