Statsmodels API
1

Table of Contents

  • 1. statsmodels.api
  • 2. Basic Documentation
  • 3. Main modules of interest
  • 4. Other modules of interest
  • 5. statsmodel.sandbox
  • 6. statsmodel.sandbox2
  • 7. From official doc
    • 7.1. Linear Regression
    • 7.2. Generalized Linear Models
      • 7.2.1. Examples
      • 7.2.2. Technical Documentation
      • 7.2.3. Module Reference
        • 7.2.3.1. Model Class
        • 7.2.3.2. Results Class
        • 7.2.3.3. Families
        • 7.2.3.4. Link Functions
    • 7.3. Generalized Estimating Equations
    • 7.4. Robust Linear Models
    • 7.5. Linear Mixed Effects Models
    • 7.6. Regression with Discrete Dependent Variable
    • 7.7. ANOVA
    • 7.8. Time Series analysis tsa
    • 7.9. Models for Survival and Duration Analysis
    • 7.10. Statistics stats
    • 7.11. Nonparametric Methods nonparametric
    • 7.12. Generalized Method of Moments gmm
    • 7.13. Empirical Likelihood emplike
    • 7.14. Other Models miscmodels
    • 7.15. Distributions
    • 7.16. Graphics
    • 7.17. Input-Output iolib
    • 7.18. Tools
    • 7.19. The Datasets Package
    • 7.20. Sandbox
Statsmodels API
  • Docs »
  • 7. From official doc »
  • 7.2. Generalized Linear Models »
  • 7.2.3.4.15. statsmodels.genmod.families.links.nbinom
  • View page source

7.2.3.4.15. statsmodels.genmod.families.links.nbinom¶

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

The negative binomial link function.

Notes

g(p) = log(p/(p + 1/alpha))

nbinom is an alias of NegativeBinomial. nbinom = NegativeBinomial(alpha=1.)

__init__(alpha=1.0)¶

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
Next Previous

© Copyright 2016.

Built with Sphinx using a theme provided by Read the Docs.