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