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statsmodels.discrete.discrete_model.Logit.cdf

Logit.cdf(X) [source]

The logistic cumulative distribution function

Parameters: X (array-like) – X is the linear predictor of the logit model. See notes.
Returns:
Return type: 1/(1 + exp(-X))

Notes

In the logit model,

\[\Lambda\left(x^{\prime}\beta\right)=\text{Prob}\left(Y=1|x\right)=\frac{e^{x^{\prime}\beta}}{1+e^{x^{\prime}\beta}}\]

© 2009–2012 Statsmodels Developers
© 2006–2008 Scipy Developers
© 2006 Jonathan E. Taylor
Licensed under the 3-clause BSD License.
http://www.statsmodels.org/stable/generated/statsmodels.discrete.discrete_model.Logit.cdf.html