| schools {rbugs} | R Documentation |
8 schools analysis from section 5.5 of "Bayesian Data Analysis" by Andrew Gelman, John B. Carlin, Hal S. Stern, and Donald B. Rubin.
data(schools)
A data frame with 8 observations on the following 3 variables.
A B C D E F G HGelman, A., Carlin, J.B., Stern, H.S., Rubin, D.B. (2003): Bayesian Data Analysis, 2nd edition, CRC Press.
data(schools)
J <- nrow(schools)
y <- schools$estimate
y <- rnorm(length(y))
sigma.y <- schools$sd
schools.data <- list ("J", "y", "sigma.y")
## schools.data <- list(J=J, y=y, sigma.y=sigma.y)
inits <- function() {list (theta=rnorm(J,0,100),
mu.theta=rnorm(1,0,100),
sigma.theta=runif(1,0,100))}
parameters <- c("theta", "mu.theta", "sigma.theta")
schools.bug <- file.path(.path.package("rbugs"), "bugs/model", "schools.bug")
file.show(schools.bug)
## Not run:
## no tested examples for mac-os.
schools.sim <- rbugs(data=schools.data, inits, parameters,
schools.bug, n.chains=3, n.iter=1000,
workingDir="/var/scratch/jyan/c/tmp",
bugsWorkingDir="c:/tmp",
useWine=TRUE,
wine="/var/scratch/jyan/wine-20040408/wine",
debug=TRUE)
## generate files only
schools.sim <- rbugs(data=schools.data, inits, parameters,
schools.bug, n.chains=3, n.iter=1000,
bugsWorkingDir=tempdir(),
linbugs=TRUE, genFilesOnly=TRUE)
## End(Not run)