statsmodels.discrete.discrete_model.Logit.pdf

Logit.pdf(X) [source]

The logistic probability density function

Parameters:	X (array-like) – X is the linear predictor of the logit model. See notes.
Returns:	pdf – The value of the Logit probability mass function, PMF, for each point of X. np.exp(-x)/(1+np.exp(-X))**2
Return type:	ndarray

Notes

In the logit model,

\[\lambda\left(x^{\prime}\beta\right)=\frac{e^{-x^{\prime}\beta}}{\left(1+e^{-x^{\prime}\beta}\right)^{2}}\]