# Solved – Code Problem in Lognormal Bayesian Model in JAGS/WinBUGS

I have a data set with 853 units. Below, a small sample of it:

y

`` [1]  0.000000  0.000000  0.000000  0.000000  0.000000  0.000000  0.000000  0.000000  0.000000 [10]  0.000000  6.751283  0.000000  0.000000 11.927481  0.000000  0.000000  0.000000  0.000000 [19]  0.000000  0.000000  0.000000  0.000000  0.000000  0.000000  0.000000  0.000000  0.000000 [28]  0.000000  0.000000  0.000000  0.000000  0.000000  0.000000  0.000000  0.000000  0.000000 [37]  0.000000  0.000000  0.000000  0.000000  5.342471  2.286760  0.000000  0.000000  3.464403 [46]  3.952309 16.030779 17.942967  0.000000  0.000000 ``

``    gdp.cap     bf.cap 1  8.789771 0.03911118 2 10.204732 0.02341257 3  6.890112 0.04160150 4  9.178957 0.03892352 5  9.384171 0.03880186 6  9.562188 0.04165802 ``

I'm calling JAGS from R to run the following code:

1) In JAGS

``model {      # Lognormal likelihood     for(i in 1:N) {          y[i] ~ dlnorm(mu[i], tau)         mu[i] <- beta0 + inprod(x[i,], beta[])     }      # Prior for betas     beta0 ~ dnorm(mbeta0, precbeta0)      for (j in 1:K) { # b are the number betas to be estimated         beta[j] ~ dnorm(m[j], prec[j])     }      # Prior for precision of Y     tau ~ dgamma(tau.a, tau.b)     sigma <- 1/sqrt(tau)  } ``

2) In R:

``dt <- read.csv("data.csv", header=T, sep=',') dt <- na.omit(dt)  # Organize Data y <- dt[,30] x <- as.matrix(dt[,c(31,46)])  # Data:   data <- list(N=length(y), K=2, y=y, x=x, m=c(-2,2), prec=c(.20, .20), tau.a=1, tau.b=2, mbeta0=0, precbeta0=.01) inits <- rep(list(list(beta0=0, beta=c(1,1), tau=1)),5) param <- c("beta0", "beta", "sigma")  # Sample Posterior library(rjags) sim <- jags.model(file="Bayesian/lognormal.bug", data=data, inits=inits, n.chains=5, n.adapt=1000) ``

I don't know why I get the following error:

``Compiling model graph Resolving undeclared variables Allocating nodes Graph Size: 39212  Initializing model Deleting model  Error in jags.model(file = "Bayesian/lognormal.bug", data = data, inits = inits,  :  Error in node y[1] Observed node inconsistent with unobserved parents at initialization ``