Statsmodels API
1

Table of Contents

  • 1. statsmodels.api
  • 2. Basic Documentation
  • 3. Main modules of interest
    • 3.1. statsmodel
    • 3.2. statsmodel.discrete
    • 3.3. statsmodel.distributions
    • 3.4. statsmodel.emplike
    • 3.5. statsmodel.genmod
      • 3.5.1. statsmodels.genmod.api
      • 3.5.2. statsmodels.genmod.cov_struct
      • 3.5.3. statsmodels.genmod.generalized_estimating_equations
      • 3.5.4. statsmodels.genmod.generalized_linear_model
      • 3.5.5. statsmodel.genmod.families
        • 3.5.5.1. statsmodels.genmod.families
        • 3.5.5.2. statsmodels.genmod.families.family
        • 3.5.5.3. statsmodels.genmod.families.links
        • 3.5.5.4. statsmodels.genmod.families.varfuncs
    • 3.6. statsmodel.graphics
    • 3.7. statsmodel.miscmodels
    • 3.8. statsmodels.nonparametric
    • 3.9. statsmodels.regression
    • 3.10. statsmodel.robust
    • 3.11. statsmodel.stats
  • 4. Other modules of interest
  • 5. statsmodel.sandbox
  • 6. statsmodel.sandbox2
  • 7. From official doc
Statsmodels API
  • Docs »
  • 3. Main modules of interest »
  • 3.5.5.3. statsmodels.genmod.families.links »
  • 3.5.5.3.1.6. statsmodels.genmod.families.links.NegativeBinomial
  • View page source

3.5.5.3.1.6. statsmodels.genmod.families.links.NegativeBinomial¶

class statsmodels.genmod.families.links.NegativeBinomial(alpha=1.0)[source]¶

The negative binomial link function

Parameters:

alpha : float, optional

Alpha is the ancillary parameter of the Negative Binomial link function. It is assumed to be nonstochastic. The default value is 1. Permissible values are usually assumed to be in (.01, 2).

__init__(alpha=1.0)[source]¶

3.5.5.3.1.6.1. Methods¶

__init__([alpha])
deriv(p) Derivative of the negative binomial transform
inverse(z) Inverse of the negative binomial transform
inverse_deriv(z) Derivative of the inverse of the negative binomial transform
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