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diff --git a/tests/examplefiles/example.bug b/tests/examplefiles/example.bug
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-# Alligators: multinomial - logistic regression 
-#  http://www.openbugs.info/Examples/Aligators.html
-model {
-   # PRIORS    
-   alpha[1] <- 0; # zero contrast for baseline food
-   for (k in 2 : K) { 
-     alpha[k] ~ dnorm(0, 0.00001) # vague priors
-   } 
-   # Loop around lakes:
-   for (k in 1 : K){ 
-      beta[1, k] <- 0 
-   } # corner-point contrast with first lake 
-   for (i in 2 : I) { 
-     beta[i, 1] <- 0 ; # zero contrast for baseline food
-     for (k in 2 : K){ 
-       beta[i, k] ~ dnorm(0, 0.00001) # vague priors
-     } 
-   }
-   # Loop around sizes:
-   for (k in 1 : K){ 
-     gamma[1, k] <- 0 # corner-point contrast with first size 
-   } 
-   for (j in 2 : J) { 
-     gamma[j, 1] <- 0 ; # zero contrast for baseline food
-     for ( k in 2 : K){ 
-       gamma[j, k] ~ dnorm(0, 0.00001) # vague priors
-     } 
-   }
-
-   # LIKELIHOOD   
-   for (i in 1 : I) { # loop around lakes
-     for (j in 1 : J) { # loop around sizes
-
-       # Fit standard Poisson regressions relative to baseline
-       lambda[i, j] ~ dflat()   # vague priors 
-       for (k in 1 : K) { # loop around foods
-           X[i, j, k] ~ dpois(mu[i, j, k])
-           log(mu[i, j, k]) <- lambda[i, j] + alpha[k] + beta[i, k] + gamma[j, k]
-           culmative.X[i, j, k] <- culmative(X[i, j, k], X[i, j, k])
-       }
-     }
-   }
-
-   # TRANSFORM OUTPUT TO ENABLE COMPARISON 
-   # WITH AGRESTI'S RESULTS
-   for (k in 1 : K) { # loop around foods
-       for (i in 1 : I) { # loop around lakes
-         b[i, k] <- beta[i, k] - mean(beta[, k]); # sum to zero constraint
-       }
-       for (j in 1 : J) { # loop around sizes
-         g[j, k] <- gamma[j, k] - mean(gamma[, k]); # sum to zero constraint
-       }
-   }
-}