Probit Regression In R. Multinomial probit Kenneth Train and Yves Croissant 2020-10-02. Sep 17 2020 Probit regression.
Probit Regression Probit regression can used to solve binary classification problems just like logistic regression. We have data on the mode choice of 453 commuters. In this example we use a set of functions from the Zelig package available for R.
In the Probit model you model the probability of success π Φ x β where Φ is the cumulative normal distribution.
Low to high then use ordered logit or ordered probit models. 1 bus 2 car alone 3 carpool and 4 rail. I would use optim for direct minimization of negative log-likelihood. So the interpretation of the regression coefficients are a little bit weird.
