#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
  }

}