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  • Installing
  • Getting started
  • User Guide
  • Examples
  • API Reference
  • About statsmodels
  • Developer Page
  • Release Notes
  • GitHub
  • PyPI
  • DOI

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  • statsmodels.genmod.families.links.NegativeBinomial

statsmodels.genmod.families.links.NegativeBinomial#

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

The negative binomial link function

Parameters:
alphafloat, 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).

Methods

__call__(p)

Negative Binomial transform link function

deriv(p)

Derivative of the negative binomial transform

deriv2(p)

Second derivative of the negative binomial link function.

inverse(z)

Inverse of the negative binomial transform

inverse_deriv(z)

Derivative of the inverse of the negative binomial transform

inverse_deriv2(z)

Second derivative of the inverse link function g^(-1)(z).

Methods

deriv(p)

Derivative of the negative binomial transform

deriv2(p)

Second derivative of the negative binomial link function.

inverse(z)

Inverse of the negative binomial transform

inverse_deriv(z)

Derivative of the inverse of the negative binomial transform

inverse_deriv2(z)

Second derivative of the inverse link function g^(-1)(z).

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