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Installing
Getting started
User Guide
Examples
API Reference
About statsmodels
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Release Notes

GitHub
PyPI
DOI

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endog, exog, what’s that?
Import Paths and Structure
Fitting models using R-style formulas
Pitfalls

Linear Regression
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Generalized Estimating Equations
Generalized Additive Models (GAM)
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Linear Mixed Effects Models
Regression with Discrete Dependent Variable
Generalized Linear Mixed Effects Models
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Other Models othermod

Time Series analysis tsa
Time Series Analysis by State Space Methods statespace
Vector Autoregressions tsa.vector_ar

Methods for Survival and Duration Analysis
Nonparametric Methods nonparametric
Generalized Method of Moments gmm
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Multivariate Statistics multivariate

Statistics stats
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Treatment Effects treatment
Empirical Likelihood emplike
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The Datasets Package

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User Guide
Regression with Discrete Dependent Variable
statsmodels.discrete.count_model.ZeroInflatedPoissonResults
statsmodels.discrete.count_model.ZeroInflatedPoissonResults.llr

statsmodels.discrete.count_model.ZeroInflatedPoissonResults.llr#

ZeroInflatedPoissonResults.llr#: Likelihood ratio chi-squared statistic; -2*(llnull - llf)

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ZeroInflatedPoissonResults.llr

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