Description Usage Arguments Value
MCMC algorithm using Gibbs sampling for each variable with structural NA
1 2 3  | 
Y | 
 relational array of relations  | 
X | 
 Time x n x n x p covariate array  | 
RE | 
 random effect to be included ("additive" and/or "multiplicative")  | 
R | 
 dimension of the multiplicative effects  | 
dist | 
 standard Exponential or squared Exponential  | 
gammapriors | 
 inverse-gamma shape and scale parameters for (s2, beta, theta, d)  | 
avail | 
 Time x n matrix reperesenting the availibility of nodes (1 if avail, 0 if structural NA)  | 
burn | 
 burn in for the Markov chain  | 
nscan | 
 number of iterations of the Markov chain (beyond burn-in)  | 
odens | 
 output density for the Markov chain  | 
kappas | 
 P+2 length vector of GP length parameters  | 
Final estimate of the parameters
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.