Statsmodels API
1
Table of Contents
1. statsmodels.api
1.1. Functions
1.2. Classes
1.2.1. statsmodels.api.GEE
1.2.2. statsmodels.api.GLM
1.2.3. statsmodels.api.GLS
1.2.4. statsmodels.api.GLSAR
1.2.5. statsmodels.api.Logit
1.2.6. statsmodels.api.MNLogit
1.2.7. statsmodels.api.MixedLM
1.2.8. statsmodels.api.NegativeBinomial
1.2.9. statsmodels.api.NominalGEE
1.2.10. statsmodels.api.OLS
1.2.11. statsmodels.api.OrdinalGEE
1.2.12. statsmodels.api.PHReg
1.2.13. statsmodels.api.Poisson
1.2.14. statsmodels.api.ProbPlot
1.2.15. statsmodels.api.Probit
1.2.16. statsmodels.api.QuantReg
1.2.17. statsmodels.api.RLM
1.2.17.1. Methods
1.2.17.2. Attributes
1.2.18. statsmodels.api.WLS
2. Basic Documentation
3. Main modules of interest
4. Other modules of interest
5. statsmodel.sandbox
6. statsmodel.sandbox2
7. From official doc
Statsmodels API
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1.2.17. statsmodels.api.RLM
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1.2.17.1.2. statsmodels.api.RLM.deviance
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1.2.17.1.2. statsmodels.api.RLM.deviance
¶
RLM.
deviance
(
tmp_results
)
[source]
¶
Returns the (unnormalized) log-likelihood from the M estimator.