statsmodels.discrete.count_model.ZeroInflatedNegativeBinomialP.loglike¶

ZeroInflatedNegativeBinomialP.loglike(params)¶

Loglikelihood of Generic Zero Inflated model.

Parameters:¶

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_{m a i n_m o d e l}) + \sum_{y_{i} > 0} (\ln (1 - w_{i}) + L_{m a i n_m o d e l}) w h e r e P - p d f o f m a i n m o d e l, L - l o g l i k e f u n c t i o n o f m a i n m o d e l .

Last update: Oct 03, 2024