Table 9. Estimates and standard deviations. The negative log likelihood is 166.76 and the number of parameters is 34
Name	Estimate	Standard deviation	2.5% quantile	97.5% quantile
logFpar	-4.86140	0.094	-5.050	-4.673
logFpar	-3.31680	0.056	-3.430	-3.204
logFpar	-2.70550	0.055	-2.816	-2.595
logFpar	-2.74240	0.062	-2.867	-2.617
logFpar	-2.48260	0.079	-2.641	-2.324
logFpar	-3.71280	0.102	-3.917	-3.508
logFpar	-3.13330	0.072	-3.278	-2.989
logFpar	-2.90750	0.076	-3.060	-2.755
logFpar	-2.96260	0.088	-3.139	-2.786
logSdLogFsta	-1.73140	0.211	-2.154	-1.308
logSdLogFsta	-2.14890	0.115	-2.379	-1.918
logSdLogN	-0.30915	0.113	-0.535	-0.084
logSdLogN	-2.24750	0.171	-2.589	-1.906
logSdLogObs	-0.48103	0.114	-0.710	-0.253
logSdLogObs	-1.42690	0.136	-1.699	-1.154
logSdLogObs	-2.75000	0.287	-3.324	-2.176
logSdLogObs	-0.73785	0.136	-1.010	-0.466
logSdLogObs	-1.40870	0.074	-1.556	-1.261
logSdLogObs	-0.84482	0.166	-1.178	-0.512
logSdLogObs	-1.31470	0.099	-1.512	-1.118
rho	0.89200	0.049	0.793	0.991
logScale	-0.02240	0.101	-0.224	0.179
logScale	0.09059	0.108	-0.124	0.306
logScale	0.23958	0.110	0.020	0.459
logScale	0.09625	0.110	-0.124	0.317
logScale	-0.08589	0.109	-0.303	0.132
logScale	-0.26193	0.108	-0.479	-0.045
logScale	-0.07657	0.111	-0.298	0.145
logScale	0.00989	0.110	-0.210	0.230
logScale	0.30108	0.108	0.084	0.518
logScale	-0.11710	0.109	-0.335	0.101
logScale	0.43769	0.110	0.217	0.658
logScale	0.14809	0.110	-0.072	0.368
logScale	-0.04242	0.103	-0.248	0.163