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Table 7 Posterior summaries of simulation due to all samples using the function LaplacesDemon

From: Bayesian analysis of generalized log-Burr family with R

Logistic model (k =1)
Parameter Mean SD MCSE ESS LB Median UB
Beta[1] 64.45 5.90 0.32 32.69 51.07 66.30 74.19
Beta[2] -17.80 1.68 0.09 32.38 -20.56 -18.32 -14.00
Log.sigma -0.14 0.09 0.00 506.99 -0.31 -0.14 0.05
Deviance 283.17 2.45 0.11 518.19 280.37 282.62 288.83
LP -160.91 1.23 0.06 518.19 -163.74 -160.64 -159.51
Sigma 0.87 0.08 0.00 508.50 0.73 0.87 1.05
Weibull model (k =30)
Parameter Mean SD MCSE ESS LB Median UB
Beta[1] 65.60 5.40 0.14 556.65 54.55 66.22 75.84
Beta[2] -17.95 1.54 0.04 557.46 -20.87 -18.13 -14.77
Log.sigma 0.25 0.09 0.00 1652.97 0.08 0.25 0.44
Deviance 278.33 2.35 0.06 2000.00 275.61 277.75 284.22
LP -158.50 1.17 0.03 2000.00 -161.44 -158.20 -157.13
Sigma 1.29 0.12 0.00 1656.80 1.08 1.29 1.55