BiProbitPartial: Bivariate Probit with Partial Observability

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) <doi:10.1002/9781118771051.ch13>.

Package details

AuthorMichael Guggisberg and Amrit Romana
MaintainerMichael Guggisberg <>
Package repositoryView on CRAN
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BiProbitPartial documentation built on May 2, 2019, 1:48 p.m.