Inference for Bugs model at "/home/kubo/obihiro_flower/prototype/winbugs/model.bug.txt", fit using winbugs, 3 chains, each with 4000 iterations (first 2000 discarded), n.thin = 10 n.sims = 600 iterations saved mean sd 2.5% 25% 50% 75% 97.5% Rhat n.eff pbase[1] 2.15 1.16 -0.64 1.63 2.19 2.75 4.37 1.22 17 pbase[2] 4.56 0.65 3.23 4.11 4.57 5.02 5.77 1.01 600 pbase[3] 1.41 0.33 0.81 1.17 1.40 1.63 2.07 1.02 280 pspc[1,1] 8.01 3.80 0.73 5.44 7.81 10.15 16.27 1.04 57 pspc[1,2] 5.90 3.01 0.54 3.94 5.70 7.69 12.61 1.11 27 pspc[1,3] -1.02 1.58 -4.00 -1.95 -1.07 -0.05 2.30 1.10 38 pspc[1,4] -0.35 2.03 -3.94 -1.72 -0.50 0.73 4.07 1.10 36 pspc[1,5] 2.47 2.38 -2.20 0.87 2.42 4.05 7.44 1.06 39 pspc[1,6] -3.49 1.74 -6.79 -4.71 -3.48 -2.34 -0.10 1.06 39 pspc[1,7] -0.79 2.09 -4.70 -2.13 -0.90 0.53 3.72 1.02 130 pspc[1,8] 7.14 2.80 2.46 5.34 6.87 8.78 13.72 1.05 46 pspc[1,9] 1.75 2.01 -2.06 0.39 1.66 2.94 6.20 1.04 76 pspc[1,10] -3.04 1.35 -5.70 -3.84 -3.09 -2.26 -0.33 1.13 26 pspc[1,11] 3.45 2.17 -0.47 2.00 3.41 4.72 8.16 1.08 30 pspc[1,12] -2.15 1.61 -5.18 -3.25 -2.24 -1.10 1.22 1.06 61 pspc[1,13] -2.38 2.42 -6.71 -4.03 -2.42 -1.02 2.61 1.01 290 pspc[1,14] -8.70 2.73 -14.86 -10.16 -8.44 -6.84 -4.17 1.00 600 pspc[1,15] 1.20 1.94 -2.55 -0.10 1.13 2.51 5.28 1.07 41 pspc[1,16] 2.13 2.24 -2.00 0.62 2.05 3.54 6.64 1.07 38 pspc[1,17] 1.21 2.32 -3.93 -0.22 1.20 2.76 5.75 1.04 73 pspc[1,18] 7.46 3.18 0.92 5.58 7.47 9.71 13.33 1.02 150 pspc[1,19] 3.25 3.16 -2.96 0.83 3.45 5.58 8.77 1.12 22 pspc[1,20] 4.32 2.44 -0.10 2.63 4.09 5.78 9.64 1.15 18 pspc[1,21] -5.01 1.49 -8.16 -5.84 -5.00 -4.07 -1.87 1.08 39 pspc[1,22] -5.82 1.71 -9.35 -6.90 -5.76 -4.71 -2.67 1.07 38 pspc[1,23] -0.51 2.07 -4.38 -1.93 -0.67 0.76 3.79 1.06 54 pspc[1,24] -1.04 1.72 -4.43 -2.25 -1.10 0.17 2.51 1.10 26 pspc[1,25] -6.91 1.74 -10.51 -7.98 -6.84 -5.78 -3.60 1.04 69 pspc[2,1] -1.85 1.31 -4.36 -2.63 -1.94 -1.07 0.89 1.01 290 pspc[2,2] 1.41 1.69 -1.47 0.23 1.20 2.50 5.17 1.01 280 pspc[2,3] -0.81 1.84 -4.27 -2.01 -0.80 0.33 2.87 1.00 600 pspc[2,4] 2.33 2.08 -0.99 0.86 2.19 3.39 7.31 1.01 350 pspc[2,5] 4.81 2.34 1.02 3.09 4.54 6.30 9.85 1.01 180 pspc[2,6] -0.96 1.83 -4.48 -2.24 -0.98 0.26 2.98 1.00 370 pspc[2,7] 1.98 2.56 -2.10 0.12 1.69 3.37 7.62 1.01 130 pspc[2,8] 1.12 1.53 -1.47 0.07 1.04 2.07 4.61 1.00 600 pspc[2,9] -3.17 0.86 -4.81 -3.74 -3.22 -2.55 -1.49 1.00 450 pspc[2,10] -4.44 0.94 -6.39 -5.00 -4.41 -3.74 -2.74 1.00 600 pspc[2,11] -2.32 0.96 -4.23 -2.93 -2.33 -1.74 -0.41 1.00 600 pspc[2,12] 2.10 2.58 -2.43 0.32 1.86 3.54 7.60 1.01 220 pspc[2,13] 1.14 2.17 -2.69 -0.40 0.94 2.47 5.63 1.01 190 pspc[2,14] -1.37 2.50 -6.15 -3.02 -1.43 0.24 3.68 1.00 320 pspc[2,15] -4.35 0.72 -5.76 -4.89 -4.35 -3.85 -3.00 1.01 600 pspc[2,16] -0.30 1.36 -2.60 -1.28 -0.40 0.61 2.57 1.00 600 pspc[2,17] 3.22 2.09 -0.39 1.80 3.03 4.49 7.80 1.00 600 pspc[2,18] 0.04 1.15 -2.18 -0.73 0.01 0.78 2.31 1.01 170 pspc[2,19] -1.11 1.38 -3.62 -2.06 -1.19 -0.21 1.77 1.00 600 pspc[2,20] -0.39 1.12 -2.43 -1.12 -0.46 0.30 1.89 1.00 400 pspc[2,21] -0.26 1.17 -2.53 -1.04 -0.23 0.55 2.04 1.00 600 pspc[2,22] 1.70 1.66 -1.08 0.53 1.50 2.71 5.32 1.01 170 pspc[2,23] 1.54 1.71 -1.60 0.37 1.54 2.57 5.26 1.00 550 pspc[2,24] -2.97 0.98 -4.85 -3.64 -2.93 -2.33 -1.02 1.00 600 pspc[2,25] 1.07 1.59 -1.81 -0.04 1.02 2.10 4.71 1.00 440 pspc[3,1] -0.73 1.12 -3.41 -1.33 -0.53 0.03 1.03 1.01 220 pspc[3,2] -0.47 0.87 -2.39 -1.00 -0.34 0.10 1.16 1.01 150 pspc[3,3] 0.70 0.68 -0.43 0.20 0.63 1.16 2.15 1.01 150 pspc[3,4] 0.57 0.79 -0.70 0.03 0.45 1.03 2.43 1.01 200 pspc[3,5] -0.46 0.85 -2.24 -1.02 -0.33 0.11 0.98 1.00 440 pspc[3,6] -0.56 0.87 -2.35 -1.13 -0.45 0.00 1.03 1.01 220 pspc[3,7] 0.85 0.99 -0.58 0.14 0.68 1.30 3.19 1.00 520 pspc[3,8] -0.09 0.82 -1.79 -0.56 -0.08 0.36 1.47 1.01 210 pspc[3,9] -0.21 0.69 -1.69 -0.63 -0.17 0.24 1.13 1.03 160 pspc[3,10] 0.86 0.94 -0.51 0.18 0.68 1.36 3.03 1.01 280 pspc[3,11] -0.03 0.73 -1.64 -0.47 -0.05 0.47 1.42 1.01 240 pspc[3,12] 0.38 0.91 -1.20 -0.22 0.29 0.86 2.40 1.01 180 pspc[3,13] 1.28 1.08 -0.18 0.49 1.09 1.88 3.75 1.01 290 pspc[3,14] 0.12 1.02 -1.89 -0.49 0.08 0.61 2.44 1.00 600 pspc[3,15] 0.16 0.70 -1.12 -0.29 0.10 0.60 1.57 1.01 220 pspc[3,16] -0.07 0.83 -1.82 -0.57 -0.03 0.43 1.58 1.00 340 pspc[3,17] -0.28 0.84 -2.39 -0.72 -0.18 0.28 1.15 1.01 450 pspc[3,18] -0.86 1.12 -3.62 -1.45 -0.64 -0.06 0.74 1.02 270 pspc[3,19] -0.77 1.00 -2.89 -1.45 -0.61 0.01 0.83 1.03 96 pspc[3,20] -0.35 0.77 -1.92 -0.84 -0.30 0.16 1.18 1.03 70 pspc[3,21] 0.47 0.94 -0.88 -0.11 0.33 0.92 2.56 1.00 600 pspc[3,22] 0.45 0.91 -1.02 -0.15 0.32 0.88 2.48 1.02 600 pspc[3,23] 0.16 0.77 -1.27 -0.32 0.07 0.63 1.82 1.02 130 pspc[3,24] -1.32 0.72 -2.77 -1.77 -1.30 -0.80 -0.04 1.01 600 pspc[3,25] 0.23 0.98 -1.43 -0.37 0.11 0.71 2.58 1.00 570 tau.pspc[1] 0.05 0.02 0.02 0.03 0.04 0.06 0.09 1.04 58 tau.pspc[2] 0.14 0.07 0.05 0.09 0.13 0.17 0.31 1.01 320 tau.pspc[3] 3.68 11.32 0.25 0.58 0.98 2.17 29.17 1.00 600 deviance 725.53 11.33 705.29 718.07 724.75 732.60 749.50 1.00 600 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). pD = 47.5 and DIC = 773.1 (using the rule, pD = Dbar-Dhat) DIC is an estimate of expected predictive error (lower deviance is better).