Log evidence      = 0.0
Iterations        = 1:1000
Thinning interval = 1
Chains            = 1, 2, 3, 4
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] -0.7423 0.2698   0.0043 0.0044 1000
a[2] 10.8633 5.1702   0.0817 0.1295 1000
a[3] -1.0500 0.2849   0.0045 0.0060 1000
a[4] -1.0582 0.2849   0.0045 0.0051 1000
a[5] -0.7439 0.2773   0.0044 0.0049 1000
a[6]  0.2178 0.2675   0.0042 0.0043 1000
a[7]  1.8102 0.3842   0.0061 0.0052 1000

Quantiles
────────────────────────────────────────────
pooled
       2.5%   25.0%   50.0%   75.0%   97.5% 
a[1] -1.6594 -0.9189 -0.7369 -0.5619  0.2330
a[2]  2.6121  6.8561  9.8481 13.8390 35.4378
a[3] -2.2312 -1.2438 -1.0513 -0.8568 -0.0175
a[4] -2.0945 -1.2494 -1.0563 -0.8647 -0.2259
a[5] -1.7533 -0.9265 -0.7433 -0.5553  0.1964
a[6] -0.6843  0.0352  0.2164  0.3958  1.1456
a[7]  0.4907  1.5478  1.8008  2.0565  3.2903

