statsmodels.discrete.discrete_model.Logit.loglikeobs¶
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Logit.
loglikeobs
(params)[source]¶ Log-likelihood of logit model for each observation.
Parameters: params : array-like
The parameters of the logit model.
Returns: loglike : ndarray (nobs,)
The log likelihood for each observation of the model evaluated at params. See Notes
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.