A suite of functions to estimate, summarize
and perform predictions with the bivariate probit subject to partial observability.
The frequentist and Bayesian probabilistic philosophies are both supported. The
frequentist method is estimated with maximum likelihood and the Bayesian method is
estimated with a Markov Chain Monte Carlo (MCMC) algorithm developed by
Rajbanhdari, A (2014)