Statsmodels API
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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 »
  • 7.2.3.4.16. statsmodels.genmod.families.links.probit
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7.2.3.4.16. statsmodels.genmod.families.links.probit¶

class statsmodels.genmod.families.links.probit(dbn=<scipy.stats._continuous_distns.norm_gen object>)[source]¶

The probit (standard normal CDF) transform

Notes

g(p) = scipy.stats.norm.ppf(p)

probit is an alias of CDFLink.

__init__(dbn=<scipy.stats._continuous_distns.norm_gen object>)¶

Methods

__init__([dbn])
deriv(p) Derivative of CDF link
deriv2(p) Second derivative of the link function g’‘(p)
inverse(z) The inverse of the CDF link
inverse_deriv(z) Derivative of the inverse of the CDF transformation link function
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