\begin{Schunk}
\begin{Sinput}
 summary(stanm0)
\end{Sinput}
\begin{Soutput}
$summary
                mean     se_mean         sd         2.5%         25%         50%          75%
beta[1]  -0.14157030 0.004241371 0.19240240  -0.51631912  -0.2750561  -0.1405447  -0.01170728
beta[2]   0.19152033 0.001636877 0.10352521  -0.01209155   0.1235989   0.1939034   0.26108976
beta[3]  -0.67803898 0.001634730 0.10338941  -0.88718513  -0.7464410  -0.6762589  -0.61160576
beta[4]   0.05279162 0.005318138 0.26499924  -0.46100767  -0.1263369   0.0521137   0.22984083
beta[5]  -0.11668442 0.005284024 0.26593605  -0.63878495  -0.2907040  -0.1215888   0.05796778
beta[6]  -0.50098213 0.001401620 0.08864621  -0.67142319  -0.5619895  -0.5011020  -0.44185388
sigma     1.01529744 0.001406670 0.08896559   0.85778819   0.9526128   1.0096773   1.07297121
lp__    -38.54245418 0.045897759 1.94342626 -43.27617602 -39.6019515 -38.2214183 -37.10667130
              97.5%    n_eff      Rhat
beta[1]   0.2300102 2057.825 1.0003020
beta[2]   0.3889523 4000.000 0.9998801
beta[3]  -0.4759030 4000.000 0.9994049
beta[4]   0.5755834 2482.962 1.0006005
beta[5]   0.4134304 2532.940 1.0003923
beta[6]  -0.3248961 4000.000 1.0001695
sigma     1.2099515 4000.000 0.9994242
lp__    -35.7251147 1792.888 1.0009303

$c_summary
, , chains = chain:1

         stats
parameter         mean         sd          2.5%         25%          50%          75%       97.5%
  beta[1]  -0.13333278 0.19276812  -0.516384812  -0.2574546  -0.13556649  -0.01179914   0.2452291
  beta[2]   0.19231493 0.10345588   0.004835102   0.1209143   0.19223304   0.26271391   0.3920030
  beta[3]  -0.67570219 0.10712585  -0.896553307  -0.7425049  -0.67675338  -0.60588099  -0.4787271
  beta[4]   0.04465561 0.26197118  -0.458925442  -0.1278580   0.05220658   0.22680419   0.5468439
  beta[5]  -0.12925919 0.27521639  -0.668153124  -0.3009059  -0.13343989   0.05395322   0.4123755
  beta[6]  -0.49803874 0.08734198  -0.663810519  -0.5611975  -0.49999789  -0.43474229  -0.3268878
  sigma     1.01611126 0.09382281   0.845904622   0.9490164   1.01212873   1.07898392   1.2122880
  lp__    -38.63341418 1.93888592 -43.092004105 -39.7679447 -38.29029068 -37.24501203 -35.7823666

, , chains = chain:2

         stats
parameter         mean         sd         2.5%         25%          50%          75%       97.5%
  beta[1]  -0.14805878 0.19064101  -0.50391579  -0.2864628  -0.14744765  -0.01110713   0.2138094
  beta[2]   0.18934883 0.10085118  -0.01118942   0.1214870   0.19062860   0.25236555   0.3854645
  beta[3]  -0.68037506 0.10136161  -0.88409118  -0.7483953  -0.67926879  -0.61544368  -0.4762840
  beta[4]   0.05879432 0.26929012  -0.46136958  -0.1256825   0.05028764   0.25203113   0.5920933
  beta[5]  -0.10445083 0.26727102  -0.60837727  -0.2850316  -0.11269278   0.06905388   0.4204522
  beta[6]  -0.50151131 0.08910141  -0.66913590  -0.5644356  -0.50160309  -0.44076293  -0.3250381
  sigma     1.01648305 0.08805561   0.85776717   0.9544239   1.00965660   1.06910752   1.2245269
  lp__    -38.52042831 1.87033218 -42.88930285 -39.5012429 -38.29573556 -37.10438397 -35.7601793

, , chains = chain:3

         stats
parameter         mean         sd          2.5%          25%          50%          75%       97.5%
  beta[1]  -0.14745493 0.18546501  -0.526775707  -0.27413760  -0.14265192  -0.01060526   0.1973395
  beta[2]   0.19652524 0.10505521  -0.001915868   0.12627377   0.19872688   0.27198780   0.3933224
  beta[3]  -0.67706313 0.10347443  -0.887269378  -0.74435733  -0.67352874  -0.61066460  -0.4718810
  beta[4]   0.06537512 0.25798514  -0.459590505  -0.08985958   0.06399977   0.22858175   0.5689778
  beta[5]  -0.11103637 0.25559181  -0.594014172  -0.28559332  -0.11601959   0.05768219   0.4164890
  beta[6]  -0.50400932 0.08694446  -0.674279480  -0.56390705  -0.50144597  -0.44790441  -0.3335026
  sigma     1.01510742 0.08419115   0.865060440   0.95473222   1.01082344   1.06906518   1.1940680
  lp__    -38.39554677 1.93801983 -43.232344290 -39.38388313 -38.00855219 -36.97117343 -35.7005305

, , chains = chain:4

         stats
parameter         mean         sd         2.5%         25%          50%          75%       97.5%
  beta[1]  -0.13743471 0.20030784  -0.51682710  -0.2760259  -0.13413950  -0.01379842   0.2712258
  beta[2]   0.18789232 0.10463165  -0.03479283   0.1247124   0.19608024   0.25462707   0.3867111
  beta[3]  -0.67901555 0.10158575  -0.88002592  -0.7487031  -0.67498436  -0.61460816  -0.4762111
  beta[4]   0.04234143 0.27025308  -0.45910579  -0.1468834   0.04191593   0.21344879   0.5889127
  beta[5]  -0.12199131 0.26500389  -0.65305834  -0.2877754  -0.12422412   0.04781666   0.3921245
  beta[6]  -0.50036914 0.09116290  -0.67476376  -0.5604889  -0.50115637  -0.44362699  -0.3146862
  sigma     1.01348804 0.08962829   0.85832400   0.9510656   1.00583674   1.07292100   1.2005119
  lp__    -38.62042747 2.01721733 -43.43542909 -39.7647415 -38.24194768 -37.13088958 -35.6871775
\end{Soutput}
\end{Schunk}
