Iterations        = 1:1000
Thinning interval = 1
Chains            = Chain1, Chain2, Chain3, Chain4
Samples per chain = 1000
pooled            = a_1, a_2, a_3, a_4, a_5, a_6, a_7

Empirical Posterior Estimates:
===========================================
pooled
      Mean    SD   Naive SE  MCSE   ESS
a_1 -0.7359 0.2660   0.0042 0.0046 1000
a_2 10.7613 5.2233   0.0826 0.1198 1000
a_3 -1.0564 0.2763   0.0044 0.0050 1000
a_4 -1.0497 0.2872   0.0045 0.0046 1000
a_5 -0.7487 0.2671   0.0042 0.0042 1000
a_6  0.2180 0.2687   0.0042 0.0045 1000
a_7  1.8028 0.3871   0.0061 0.0070 1000

Quantiles:
===========================================
pooled
      2.5%   25.0%   50.0%   75.0%   97.5% 
a_1 -1.8714 -0.9097 -0.7300 -0.5565  0.0405
a_2  2.3452  6.6851  9.5915 13.8821 33.4904
a_3 -2.1620 -1.2371 -1.0506 -0.8697 -0.1639
a_4 -2.1143 -1.2463 -1.0481 -0.8444 -0.0498
a_5 -1.7970 -0.9285 -0.7503 -0.5621  0.0196
a_6 -0.7158  0.0341  0.2162  0.3989  1.3299
a_7  0.6270  1.5280  1.7855  2.0565  3.3542

