rbiprobit is a user-written command that fits a recursive bivariate probit regression using maximum likelihood estimation. It is implemented as an lf1 ml evaluator. The model involves an outcome ...

MICProB is composed of two nested probit regression models, where the inner model is estimated for predicting primary instances, which are considered as the “important” ones that determine the bag ...

The nonlinear functions implemented here are the inverse of complementary log-log and probit link functions. A Monte Carlo framework is presented to evaluate the results of prediction power with these ...

The probit regression model is a model used to analyze the relationship between categorical response variables, with predictive variables that are numerical, categorical, or the combination of both.