Log-likelihood of probit model (i.e., the normal distribution).
Parameters : | params : array-like
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Returns : | loglike : float
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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.