Description Usage Arguments Value
MCMC1() produces MCMC draws from the posterior of the bivariate
probit with partial observability. It does not perform input validation.
It is reccomended to use BiProbitPartial
instead of this function.
BiProbitPartial
performs input validation
and then calls this function if philosophy == "bayesian"
.
1 2 | MCMC1(X1, X2, Z, beta1, beta2, rho, fixrho, S, beta0, B0inv, rho0, v0, nu,
P, tauSq, seed)
|
X1 |
a matrix of covariates for the first equation |
X2 |
a matrix of covariates for the second equation |
Z |
a matrix of response values |
beta1 |
a matrix of starting values for beta1 |
beta2 |
a matrix of starting values for beta2 |
rho |
a numeric starting value for rho |
fixrho |
a logical determining if rho is fixed |
S |
a numeric for the number of MCMC iterations |
beta0 |
a matrix of the beta prior mean parameter |
B0inv |
a matrix of the inverse of beta prior covariance parameter |
rho0 |
a numeric for the mu prior parameter for rho |
v0 |
a numeric for the Sigma prior parameter for rho |
nu |
a numeric for MCMC tuning parameter 1 |
P |
a numeric for MCMC tuning parameter 2 |
tauSq |
a numeric for MCMC tuning parameter 3 |
seed |
a numeric seed for determining the random draw sequence |
a matrix of MCMC draws
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.