Inference for Bugs model at "C:/storable/storable.txt" 2 chains, each with 1000 iterations nsims = 1000 iterations saved mean sd 2.5% 25% 50% 75% 97.5% Rhat n.eff c[1,1] 45.6 4.9 34.8 42.6 45.6 48.6 55.7 1.0 1000 c[1,2] 54.8 5.7 44.6 50.8 54.2 58.1 68.5 1.0 300 c[2,1] 45.3 5.4 33.9 42.1 45.5 48.8 54.9 1.0 690 c[2,2] 91.3 4.6 81.7 88.2 91.4 94.8 99.1 1.0 1000 c[3,1] 40.6 3.2 34.5 38.6 40.5 42.8 46.9 1.0 1000 c[3,2] 96.0 2.6 90.4 94.4 96.2 98.0 99.8 1.0 390 c[4,1] 12.3 7.0 1.5 7.0 11.6 16.8 27.4 1.0 150 c[4,2] 16.2 6.9 4.3 10.8 15.7 20.5 30.8 1.0 180 c[5,1] 35.7 5.0 26.1 32.2 35.6 39.3 45.7 1.0 1000 c[5,2] 82.6 2.8 77.1 80.6 82.5 84.4 88.3 1.0 1000 c[6,1] 41.1 4.1 33.2 38.4 41.1 43.7 49.8 1.0 590 c[6,2] 66.7 4.6 58.1 63.5 66.6 69.8 75.8 1.0 800 c[7,1] 38.1 4.2 29.9 35.2 38.2 41.0 46.1 1.0 380 c[7,2] 89.5 5.0 79.2 86.2 89.6 92.9 98.6 1.0 1000 c[8,1] 27.0 9.9 5.9 20.3 27.5 34.1 45.0 1.0 1000 c[8,2] 80.2 10.5 58.5 73.2 80.5 88.2 98.5 1.0 88 c[9,1] 43.8 3.6 37.3 41.1 43.6 46.6 50.7 1.0 1000 c[9,2] 60.4 2.7 55.9 58.7 60.0 61.4 67.1 1.0 1000 c[10,1] 38.1 4.2 29.1 35.4 38.2 40.9 45.8 1.0 1000 c[10,2] 73.5 4.3 65.3 70.5 73.5 76.2 82.5 1.0 1000 c[11,1] 51.6 4.9 41.6 48.6 52.0 54.9 60.8 1.0 1000 c[11,2] 67.9 4.2 59.1 65.1 68.0 70.4 76.3 1.0 1000 c[12,1] 31.8 4.5 22.7 29.0 31.9 34.8 40.2 1.0 1000 c[12,2] 84.4 5.6 74.3 80.5 84.0 88.2 96.6 1.0 1000 c[13,1] 38.0 4.0 30.6 35.3 37.8 40.3 46.5 1.0 1000 c[13,2] 61.3 5.0 51.3 58.1 61.3 64.4 71.2 1.0 330 c[14,1] 43.9 4.0 36.3 41.2 43.8 46.4 52.8 1.0 1000 c[14,2] 85.7 4.5 77.7 82.6 85.4 88.4 95.3 1.0 1000 c[15,1] 19.8 4.7 10.5 16.8 20.0 22.9 28.5 1.0 1000 c[15,2] 60.1 5.3 50.2 56.7 59.8 63.5 71.0 1.0 1000 c[16,1] 47.5 3.6 40.5 45.1 47.5 50.0 54.4 1.0 260 c[16,2] 71.0 3.0 65.2 69.0 70.8 73.1 76.9 1.0 1000 c[17,1] 30.6 5.8 18.7 27.0 30.6 34.6 41.5 1.0 1000 c[17,2] 62.0 6.7 50.1 57.1 61.5 65.8 76.2 1.0 1000 c[18,1] 30.2 11.0 7.5 22.9 30.4 37.8 51.4 1.0 570 c[18,2] 82.3 10.7 58.6 75.2 83.0 90.9 98.9 1.0 220 c[19,1] 27.6 6.8 12.2 23.2 28.1 32.1 39.6 1.0 1000 c[19,2] 91.1 5.9 78.4 87.1 91.9 96.0 99.6 1.0 600 c[20,1] 36.6 5.1 26.7 33.3 36.5 40.0 46.6 1.0 1000 c[20,2] 83.9 5.2 74.9 80.4 83.4 87.2 95.2 1.0 540 c[21,1] 16.5 4.5 7.2 13.3 16.7 19.7 24.5 1.0 1000 c[21,2] 93.4 3.0 86.9 91.6 93.3 95.4 99.3 1.0 1000 s[1] 10.9 4.7 5.0 7.7 10.0 13.0 22.1 1.0 220 s[2] 7.4 2.5 3.7 5.7 7.0 8.7 12.9 1.0 210 s[3] 3.9 1.7 1.7 2.7 3.6 4.7 8.3 1.0 1000 s[4] 14.0 5.2 6.0 10.4 13.2 17.1 24.6 1.1 630 s[5] 3.6 1.7 1.3 2.4 3.3 4.4 7.7 1.0 370 s[6] 6.0 1.8 3.1 4.6 5.8 7.0 10.2 1.0 330 s[7] 6.8 2.1 3.6 5.3 6.4 7.9 11.6 1.0 1000 s[8] 42.5 10.5 27.5 35.1 40.8 47.9 67.8 1.0 900 s[9] 1.8 1.4 0.1 0.8 1.5 2.5 5.8 1.0 690 s[10] 6.9 2.3 3.5 5.2 6.5 8.1 12.6 1.0 1000 s[11] 7.1 2.6 3.5 5.2 6.7 8.5 13.7 1.0 630 s[12] 7.7 2.5 4.1 5.8 7.3 9.1 13.6 1.0 1000 s[13] 5.4 1.9 2.5 4.0 5.1 6.6 9.9 1.0 1000 s[14] 5.2 2.0 2.4 3.7 4.8 6.3 10.2 1.0 1000 s[15] 7.1 2.1 4.1 5.6 6.8 8.3 12.3 1.0 760 s[16] 3.9 1.6 1.7 2.8 3.6 4.6 7.8 1.0 180 s[17] 11.7 3.5 6.7 9.1 11.1 13.6 19.9 1.0 1000 s[18] 52.5 13.6 30.6 42.2 50.9 61.0 84.3 1.0 1000 s[19] 14.9 3.7 9.1 12.2 14.2 17.1 23.0 1.0 160 s[20] 7.8 2.7 4.0 5.9 7.3 9.2 14.8 1.0 160 s[21] 3.5 1.8 1.0 2.2 3.2 4.5 7.7 1.0 1000 mu.c[1] 35.2 3.1 29.2 33.1 35.2 37.4 41.1 1.0 1000 mu.c[2] 74.1 4.6 65.0 71.0 74.3 77.0 83.5 1.0 1000 sigma.c[1] 12.5 2.7 8.0 10.7 12.1 14.0 18.6 1.0 330 sigma.c[2] 20.4 3.7 14.5 17.9 19.9 22.4 28.5 1.0 300 a.s 1.3 0.4 0.6 1.0 1.2 1.5 2.2 1.0 720 b.s 0.1 0.0 0.0 0.1 0.1 0.1 0.2 1.0 790 deviance 582.4 12.9 558.1 573.2 582.3 590.8 607.8 1.0 860 pD = 83.5 and DIC = 666 (using the rule, pD = var(deviance)/2) For each parameter, n.eff is a crude measure of effective sample size, and Rhat is the potential scale reduction factor (at convergence, Rhat=1). DIC is an estimate of expected predictive error (lower deviance is better). >