\begin{Schunk}
\begin{Sinput}
 summary(mcmcpack0)
\end{Sinput}
\begin{Soutput}
Iterations = 1001:11000
Thinning interval = 1 
Number of chains = 1 
Sample size per chain = 10000 

1. Empirical mean and standard deviation for each variable,
   plus standard error of the mean:

               Mean      SD  Naive SE Time-series SE
(Intercept) -0.1212 0.20292 0.0020292      0.0020292
x1           0.1990 0.10227 0.0010227      0.0010227
x2          -0.6907 0.10080 0.0010080      0.0010080
x3fmed       0.0302 0.28756 0.0028756      0.0028756
x3fhi       -0.1448 0.28247 0.0028247      0.0028247
x1:x2       -0.5070 0.08911 0.0008911      0.0008911
sigma2       0.9953 0.17123 0.0017123      0.0018657

2. Quantiles for each variable:

                 2.5%     25%      50%      75%   97.5%
(Intercept) -0.516407 -0.2585 -0.12029  0.01372  0.2756
x1          -0.004466  0.1320  0.20017  0.26735  0.3997
x2          -0.885047 -0.7578 -0.69021 -0.62320 -0.4914
x3fmed      -0.536367 -0.1593  0.03006  0.22492  0.5954
x3fhi       -0.703359 -0.3332 -0.14648  0.04558  0.4140
x1:x2       -0.681713 -0.5669 -0.50679 -0.44745 -0.3315
sigma2       0.713725  0.8723  0.97997  1.09870  1.3802
\end{Soutput}
\end{Schunk}
