Running 'test1.R' [146s]
  Running 'test2.R' [1s]
Running the tests in 'tests/test1.R' failed.
Complete output:
  > # example 1: GasolineYield
  > library(zoib)
  Loading required package: rjags
  Loading required package: coda
  Linked to JAGS 4.3.1
  Loaded modules: basemod,bugs
  Loading required package: Formula
  Loading required package: abind
  > data("GasolineYield", package = "zoib")
  > 
  > # zoib: fixed
  > eg.fixed <- zoib(yield ~ temp + as.factor(batch)| 1, data=GasolineYield,
  +                  joint = FALSE,  random = 0, EUID = 1:nrow(GasolineYield),
  +                  zero.inflation = FALSE, one.inflation = FALSE,
  +                  n.iter = 11, n.thin = 2, n.burn=1, seeds=c(1,2,3),n.chain=3)
  [1] "***************************************************************************"
  [1] "* List of parameter for which the posterior samples are generated         *"
  [1] "* b: regression coeff in the linear predictor for the mean of beta dist'n *"
  [1] "* d: regression coeff in the linear predictor for the sum of the two      *"
  [1] "*    shape parameters in the beta distribution                            *"
  [1] "* b0: regression coeff in the linear predictor for Prob(y=0)              *"
  [1] "* b1: regression coeff in the linear predictor for Prob(y=1)              *"
  [1] "***************************************************************************"
  Compiling model graph
     Resolving undeclared variables
     Allocating nodes
  Graph information:
     Observed stochastic nodes: 32
     Unobserved stochastic nodes: 64
     Total graph size: 1398
  
  Initializing model
  
  NOTE: Stopping adaptation
  
  
  [1] "NOTE: in the header of Markov Chain Monte Carlo (MCMC) output of    "
  [1] "parameters (coeff), predicted values (ypred), residuals (resid), and"
  [1] "standardized residuals (resid.std), *Start, End, Thinning Interval* "
  [1] "values are after the initial burning and thinning periods specified "
  [1] "by the user. For example, n.iter = 151, n.thin = 2, n.burn=1,       "
  [1] "then MCMC header of the *coeff* output would read as follows        "
  [1] "--------------------------------------------------------------------"
  [1] "Markov Chain Monte Carlo (MCMC) output:"
  [1] "Start = 1"
  [1] "End = 75"
  [1] "Thinning interval = 1"
  [1] "--------------------------------------------------------------------"
  [1] "                                                                    "
  [1] "Coefficients are presented in the order of b, b0 (if zero.inflation=TRUE),"
  [1] "b1 (if one.inflation=TRUE), and d. If the names of independent variables X"
  [1] "are not shown for the coefficients within each type (b, b0, b1, d), the   "
  [1] "first coeffient is always the intercept, followed the coefficients for the"
  [1] "X's in the order as how they are entered in the model specification.      "
  [1] "--------------------------------------------------------------------------"
  > sample1 <- eg.fixed$coeff
  > #dic.samples(eg.fixed $MCMC.model, n.iter=51,thin=2,n.burn=1)
  > 
  > # zoib: random
  > eg.random <- zoib(yield ~ temp | 1 | 1, data=GasolineYield,
  +                   joint = FALSE, random=1, EUID=GasolineYield$batch,
  +                   zero.inflation = FALSE, one.inflation = FALSE,
  +                   n.iter=11, n.thin=2, n.burn=1)
  [1] "***************************************************************************"
  [1] "* List of parameter for which the posterior samples are generated         *"
  [1] "* b: regression coeff in the linear predictor for the mean of beta dist'n *"
  [1] "* d: regression coeff in the linear predictor for the sum of the two      *"
  [1] "*    shape parameters in the beta distribution                            *"
  [1] "* b0: regression coeff in the linear predictor for Prob(y=0)              *"
  [1] "* b1: regression coeff in the linear predictor for Prob(y=1)              *"
  [1] "***************************************************************************"
  Compiling model graph
     Resolving undeclared variables
     Allocating nodes
  Graph information:
     Observed stochastic nodes: 32
     Unobserved stochastic nodes: 22
     Total graph size: 1160
  
  Initializing model
  
  NOTE: Stopping adaptation
  
  
  [1] "NOTE: in the header of Markov Chain Monte Carlo (MCMC) output of    "
  [1] "parameters (coeff), predicted values (ypred), residuals (resid), and"
  [1] "standardized residuals (resid.std), *Start, End, Thinning Interval* "
  [1] "values are after the initial burning and thinning periods specified "
  [1] "by the user. For example, n.iter = 151, n.thin = 2, n.burn=1,       "
  [1] "then MCMC header of the *coeff* output would read as follows        "
  [1] "--------------------------------------------------------------------"
  [1] "Markov Chain Monte Carlo (MCMC) output:"
  [1] "Start = 1"
  [1] "End = 75"
  [1] "Thinning interval = 1"
  [1] "--------------------------------------------------------------------"
  [1] "                                                                    "
  [1] "Coefficients are presented in the order of b, b0 (if zero.inflation=TRUE),"
  [1] "b1 (if one.inflation=TRUE), and d. If the names of independent variables X"
  [1] "are not shown for the coefficients within each type (b, b0, b1, d), the   "
  [1] "first coeffient is always the intercept, followed the coefficients for the"
  [1] "X's in the order as how they are entered in the model specification.      "
  [1] "--------------------------------------------------------------------------"
  > sample2 <- eg.random$coeff
  > 
  > 
  > proc.time()
     user  system elapsed 
     0.73    0.07    0.79