Table 4.

Posterior summaries of simulation due to stationary samples using the function LaplacesDemon

Logistic model (k =1)
Parameter	Mean	SD	MCSE	ESS	LB	Median	UB
Beta	5.10	0.10	0.01	481.56	4.92	5.10	5.30
Log.sigma	-0.92	0.16	0.01	427.68	-1.25	-0.91	-0.59
Deviance	149.55	2.31	0.18	360.81	147.27	149.05	155.11
LP	-86.27	1.15	0.09	360.82	-89.05	-86.02	-85.13
Sigma	0.40	0.07	0.00	442.40	0.29	0.40	0.55
Weibull model (k =30)
Parameter	Mean	SD	MCSE	ESS	LB	Median	UB
Beta	5.24	0.10	0.01	373.50	5.07	5.22	5.46
Log.sigma	-0.80	0.16	0.01	360.03	-1.11	-0.79	-0.50
Deviance	149.62	2.14	0.15	334.67	147.55	148.94	155.09
LP	-86.31	1.07	0.07	334.66	-89.04	-85.97	-85.27
Sigma	0.46	0.07	0.00	373.10	0.33	0.45	0.61