Statsmodels API
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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
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3.5.5.3. statsmodels.genmod.families.links¶

Defines the link functions to be used with GLM and GEE families.

3.5.5.3.1. Classes¶

CDFLink([dbn]) The use the CDF of a scipy.stats distribution
CLogLog The complementary log-log transform
Link A generic link function for one-parameter exponential family.
Log The log transform
Logit The logit transform
NegativeBinomial([alpha]) The negative binomial link function
Power([power]) The power transform
cauchy() The Cauchy (standard Cauchy CDF) transform
cloglog The CLogLog transform link function.
identity() The identity transform
inverse_power() The inverse transform
inverse_squared() The inverse squared transform
log The log transform
logit
nbinom([alpha]) The negative binomial link function.
probit([dbn]) The probit (standard normal CDF) transform
sqrt() The square-root transform
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