Iterations = 501:5500
Thinning interval = 1
Number of chains = 1
Sample size per chain = 5000
1. Empirical mean and standard deviation for each variable,
plus standard error of the mean:
Mean SD Naive SE Time-series SE
(Intercept) 5.02825 8.26598 0.116899 0.116899
x1 0.24095 0.31794 0.004496 0.004496
x2 3.93765 7.60585 0.107563 0.107563
x3 0.06454 0.08825 0.001248 0.001248
x4 0.12485 0.13353 0.001888 0.001888
x5 0.15458 0.52565 0.007434 0.007780
sigma2 802.71085 271.34969 3.837464 4.743982
2. Quantiles for each variable:
2.5% 25% 50% 75% 97.5%
(Intercept) -11.0982 -0.580456 5.02595 10.7052 21.0837
x1 -0.3902 0.029923 0.24318 0.4469 0.8666
x2 -10.7645 -1.151572 3.98378 9.0313 19.2315
x3 -0.1095 0.006432 0.06429 0.1223 0.2369
x4 -0.1285 0.038570 0.12058 0.2114 0.3894
x5 -0.8834 -0.186258 0.15479 0.4956 1.1958
sigma2 438.0215 615.644001 749.97186 929.2459 1475.8915
Please illustrate the spread of data graphically to be able to interpret the results in an easier way.
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