Log evidence      = 0.0
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 -0.7459 0.2686   0.0042 0.0045 1000
a_2 10.9316 5.3647   0.0848 0.1367 1000
a_3 -1.0591 0.2754   0.0044 0.0046 1000
a_4 -1.0565 0.2793   0.0044 0.0037 1000
a_5 -0.7431 0.2635   0.0042 0.0043 1000
a_6  0.2095 0.2624   0.0041 0.0044 1000
a_7  1.8052 0.3932   0.0062 0.0057 1000

Quantiles:
===========================================
pooled
      2.5%   25.0%   50.0%   75.0%   97.5% 
a_1 -1.6859 -0.9264 -0.7424 -0.5628  0.1907
a_2  2.2686  6.8081  9.7389 13.8725 34.9561
a_3 -2.1280 -1.2357 -1.0553 -0.8712 -0.1297
a_4 -2.2620 -1.2462 -1.0542 -0.8593 -0.0294
a_5 -1.7648 -0.9254 -0.7430 -0.5577  0.1112
a_6 -0.6662  0.0338  0.2115  0.3853  1.2297
a_7  0.4587  1.5338  1.7882  2.0694  3.4955

