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

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PyPI
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endog, exog, what’s that?
Import Paths and Structure
Fitting models using R-style formulas
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Linear Regression
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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
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Regression with Discrete Dependent Variable
statsmodels.discrete.count_model.ZeroInflatedNegativeBinomialResults
statsmodels.discrete.count_model.ZeroInflatedNegativeBinomialResults.pvalues

statsmodels.discrete.count_model.ZeroInflatedNegativeBinomialResults.pvalues#

ZeroInflatedNegativeBinomialResults.pvalues#: The two-tailed p values for the t-stats of the params

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statsmodels.discrete.count_model.ZeroInflatedNegativeBinomialResults.prsquared

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statsmodels.discrete.count_model.ZeroInflatedNegativeBinomialResults.resid

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ZeroInflatedNegativeBinomialResults.pvalues

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