statsmodels.discrete.discrete_model.Logit.loglikeobs

Logit.loglikeobs(params) [source]

Log-likelihood of logit model for each observation.

Parameters:	params (array-like) – The parameters of the logit model.
Returns:	loglike – The log likelihood for each observation of the model evaluated at params. See Notes
Return type:	ndarray

Notes

\[\ln L=\sum_{i}\ln\Lambda\left(q_{i}x_{i}^{\prime}\beta\right)\]

for observations \(i=1,...,n\)

where \(q=2y-1\). This simplification comes from the fact that the logistic distribution is symmetric.