Closed alaniwi closed 7 years ago
Built coda (dependency), and jags and rjags.
Testing it using code based on example at http://www.johnmyleswhite.com/notebook/2010/08/20/using-jags-in-r-with-the-rjags-package/ (but tweaked to use a mean of 100 because unclear to me what "close to 0" means). The following code should give numbers close to 100 and close to 0.04:
N <- 1000
x <- rnorm(N, 100, 5)
library('rjags')
jags <- jags.model('example1.bug',
data = list('x' = x,
'N' = N),
n.chains = 4,
n.adapt = 100)
update(jags, 1000)
jags.samples(jags,
c('mu', 'tau'),
1000)
and we get
$mu
mcarray:
[1] 99.70884
Marginalizing over: iteration(1000),chain(4)
$tau
mcarray:
[1] 0.03979601
Marginalizing over: iteration(1000),chain(4)
per user request