#JAGS model for Bayesian analysis of averages with uninformed priors
#Pedro 05/25/2015
model {
## Priors
mean_height~dnorm(0,1.0E-6) #uninformative prior for the mean height of the plants
var_height~dgamma(0.001,0.001) #uninformative prior for the variance of the height of the plants
prec <- 1/var_height #precision = 1 / variance
## Likelihood
for(i in 1:nobs){ #for each plant
Y[i]~dnorm(mean_height,prec) #assume the height comes from this normal distribution
}
}