Inference for Bugs model at "Mi model JAGS simp8.txt", fit using jags,
3 chains, each with 2e+05 iterations (first 0 discarded), n.thin = 100
n.sims = 6000 iterations saved
mu.vect sd.vect 2.5% 25% 50% 75% 97.5% Rhat n.eff
Loc[1] 1.7578 0.0636 1.6357 1.7152 1.7561 1.7987 1.8836 1.0009 6000
Loc[2] 2.0004 0.0723 1.8605 1.9519 1.9997 2.0488 2.1448 1.0011 5600
alpha[1] 2.4774 1.9406 0.4054 1.6605 1.9451 2.5491 8.2065 1.0010 6000
alpha[2] -0.1491 0.0736 -0.2925 -0.1987 -0.1493 -0.0998 -0.0033 1.0009 6000
alpha[3] 0.1513 0.0753 0.0059 0.1009 0.1504 0.2015 0.3050 1.0009 6000
alpha[4] 0.2300 0.0432 0.1464 0.2012 0.2298 0.2583 0.3140 1.0010 6000
alpha[5] -0.3614 0.0579 -0.4774 -0.3986 -0.3596 -0.3227 -0.2512 1.0016 2400
alpha[6] 0.2399 0.1017 0.0171 0.1795 0.2472 0.3051 0.4266 1.0010 6000
alpha_mean 1.8791 0.0569 1.7699 1.8408 1.8781 1.9171 1.9937 1.0009 6000
beta.rock 0.0079 0.0040 0.0003 0.0053 0.0079 0.0106 0.0160 1.0009 6000
beta.rockveg 0.0031 0.0013 0.0002 0.0024 0.0032 0.0040 0.0056 1.0010 6000
beta.season -0.1491 0.0736 -0.2925 -0.1987 -0.1493 -0.0998 -0.0033 1.0009 6000
beta.svl -0.0600 0.0096 -0.0793 -0.0662 -0.0597 -0.0536 -0.0417 1.0016 2400
beta.veg 0.0574 0.0108 0.0366 0.0502 0.0574 0.0645 0.0784 1.0010 6000
delta -1.9102 0.5587 -2.9395 -2.3117 -1.9217 -1.5355 -0.7715 1.0017 2100
p.val[1] 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 1.0000 1
p.val[2] 1.9553 0.2956 2.0000 2.0000 2.0000 2.0000 2.0000 1.0036 5900
p.val[3] 0.0427 0.2890 0.0000 0.0000 0.0000 0.0000 0.0000 1.0075 3000
p.val[4] 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 1.0000 1
p.val[5] 2.0000 0.0000 2.0000 2.0000 2.0000 2.0000 2.0000 1.0000 1
p.val[6] 0.0363 0.2671 0.0000 0.0000 0.0000 0.0000 0.0000 1.0011 6000
tau 14.3831 2.6797 9.6129 12.5012 14.1998 16.0746 20.1554 1.0022 1300
deviance 12.3672 5.2662 4.4360 8.5350 11.5721 15.3952 24.4689 1.0009 6000
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 info (using the rule, pD = var(deviance)/2)
pD = 13.9 and DIC = 26.2
DIC is an estimate of expected predictive error (lower deviance is better).