# statsmodels.discrete.discrete_model.Probit.loglike¶

method

Probit.loglike(params)[source]

Log-likelihood of probit model (i.e., the normal distribution).

Parameters
paramsarray-like

The parameters of the model.

Returns
loglikefloat

The log-likelihood function of the model evaluated at params. See notes.

Notes

$\ln L=\sum_{i}\ln\Phi\left(q_{i}x_{i}^{\prime}\beta\right)$

Where $$q=2y-1$$. This simplification comes from the fact that the normal distribution is symmetric.