# 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. pdf – The value of the Logit probability mass function, PMF, for each point of X. np.exp(-x)/(1+np.exp(-X))**2 ndarray

Notes

In the logit model,

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