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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:

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}}

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