Logit.cdf()

statsmodels.discrete.discrete_model.Logit.cdf

Logit.cdf(X) [source]

The logistic cumulative distribution function

Parameters:

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

X : array-like

X is the linear predictor of the logit model. See notes.

Returns:

1/(1 + exp(-X))

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