Inference for Bugs model at "c:/bugsR/schools.txt"
 3 chains, each with 1000 iterations (first 500 discarded)
 nsims = 1500 iterations saved

            mean  sd  2.5%  25%  50%  75% 97.5% Rhat n.eff
theta[1]    11.0 8.5  -2.1  5.4  9.9 15.2  30.5  1.0    76
theta[2]     7.4 6.2  -5.0  3.7  7.1 11.4  20.1  1.0   290
theta[3]     5.5 7.8 -12.3  1.5  6.1 10.1  19.9  1.0  1400
theta[4]     7.4 6.6  -5.7  3.7  7.2 11.3  21.2  1.0   170
theta[5]     4.6 6.4  -9.6  0.5  5.4  8.8  16.0  1.0   390
theta[6]     5.6 6.6  -8.0  1.4  6.0 10.1  18.1  1.0   430
theta[7]    10.0 6.7  -2.1  5.6  9.4 14.0  25.0  1.0    73
theta[8]     8.0 7.8  -6.5  3.8  7.4 12.1  24.9  1.0   140
mu.theta     7.5 5.4  -2.8  4.3  7.3 10.7  19.0  1.0   160
sigma.theta  6.5 5.7   0.2  2.7  4.9  9.1  21.4  1.1    23
deviance    60.3 2.2  56.9 58.9 59.8 61.1  66.0  1.0    92
 pD = 2.5 and DIC = 62.7 (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).
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