Log-likelihood of probit model for each observation
Parameters: | params : array-like
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Returns: | The log-likelihood evaluated at params : |
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.