SimDat

<p>Simulated data of 10,000 observations from a multivariate
normal distribution. The true coefficients for equation 1 are 0 and 1. The
true coefficients for equation 2 are 0 and -1. The true \(\rho\) is 0.</p>

data

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>.

Michael Guggisberg

SimDat: This is data to be included in my package

Description

Arguments