用少部分数据计算没问题。
但是加入全部数据后，如下：
#MODEL
model
{
for (i in 1:N) {
Y ~ dbin(p,N)
logit(p) <- alpha + inprod(beta[] , X[i,]) +v+u[j]+l[t]+ejt
}

spatial CAR prior distribution for random effects:

u[1:s_N] ~ car.normal(s_adj[],s_weights[], s_num[], s_tau)
for (k in 1:s_sumNumNeigh) {
s_weights[k] <- 1
}

temporal CAR prior distribution for random effects:

l[1:t_N] ~ car.normal(t_adj[], t_weights[],t_num[], t_tau)
for (k in 1:t_sumNumNeigh) {
t_weights[k] <- 1
}

Other priors:

alpha ~ dflat()
for (m in 1:M){
beta[m] ~ dnorm(0, 100000)
}
v~dnorm(0,tauv)
tauv~dgamma(0.5,0.0005)
s_tau ~ dgamma(0.5, 0.0005)
t_tau ~ dgamma(0.5, 0.0005)
ejt~dnorm(0,tauv)
}
#DATA
list(N = 508,M=15, s_N=10,t_N=61,
Y = c(1.0,1.0,-1.0,-1.0,-1.0,-1.0,-1.0,1.0,1.0,1.0,1.0,-1.0,-1.0,-1.0,-1.0,-1.0,-1.0,-1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,-1.0,-1.0,-1.0,-1.0,-1.0,-1.0,1.0,1.0,1.0,1.0,1.0,1.0,-1.0,-1.0,-1.0,-1.0,1.0,1.0,1.0,1.0,-1.0,-1.0,-1.0,-1.0,-1.0,-1.0,-1.0,1.0,1.0,1.0,1.0,1.0,1.0,-1.0,-1.0,-1.0,1.0,1.0,-1.0,-1.0,-1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,-1.0,-1.0,-1.0,-1.0,1.0,1.0,1.0,1.0,-1.0,-1.0,-1.0,-1.0,1.0,1.0,1.0,-1.0,-1.0,-1.0,-1.0,-1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,-1.0,-1.0,-1.0,-1.0,-1.0,-1.0,1.0,1.0,1.0,1.0,1.0,1.0,-1.0,-1.0,-1.0,-1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,-1.0,-1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,-1.0,-1.0,-1.0,-1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,-1.0,-1.0,-1.0,-1.0,-1.0,-1.0,1.0,1.0,1.0,1.0,1.0,-1.0,-1.0,-1.0,-1.0,-1.0,-1.0,-1.0,-1.0,-1.0,-1.0,1.0,1.0,1.0,1.0,1.0,1.0,-1.0,-1.0,-1.0,-1.0,-1.0,-1.0,-1.0,-1.0,-1.0,-1.0,-1.0,-1.0,1.0,1.0,1.0,1.0,-1.0,-1.0,-1.0,-1.0,1.0,1.0,1.0,1.0,-1.0,-1.0,-1.0,-1.0,-1.0,-1.0,-1.0,-1.0,1.0,-1.0,-1.0,-1.0,1.0,1.0,1.0,1.0,-1.0,-1.0,1.0,1.0,-1.0,-1.0,-1.0,-1.0,1.0,-1.0,-1.0,-1.0,1.0,1.0,1.0,1.0,-1.0,-1.0,-1.0,-1.0,1.0,1.0,1.0,1.0,-1.0,-1.0,-1.0,-1.0,1.0,1.0,1.0,1.0,1.0,-1.0,-1.0,-1.0,-1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,-1.0,-1.0,-1.0,-1.0,-1.0,-1.0,1.0,1.0,-1.0,-1.0,-1.0,-1.0,1.0,1.0,-1.0,-1.0,-1.0,-1.0,-1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,-1.0,1.0,1.0,1.0,1.0,1.0,1.0,-1.0,-1.0,1.0,1.0,1.0,1.0,1.0,1.0,-1.0,-1.0,-1.0,-1.0,1.0,1.0,1.0,1.0,1.0,1.0,-1.0,-1.0,-1.0,1.0,1.0,1.0,1.0,-1.0,-1.0,-1.0,-1.0,-1.0,-1.0,-1.0,1.0,1.0,1.0,-1.0,-1.0,1.0,1.0,1.0,-1.0,-1.0,1.0,1.0,-1.0,-1.0,-1.0,-1.0,-1.0,-1.0,1.0,1.0,1.0,1.0,1.0,-1.0,-1.0,-1.0,-1.0,1.0,1.0,1.0,1.0,-1.0,-1.0,1.0,1.0,-1.0,-1.0,-1.0,-1.0,1.0,1.0,-1.0,-1.0,-1.0,1.0,1.0,1.0,1.0,1.0,-1.0,-1.0,-1.0,1.0,1.0,1.0,-1.0,-1.0,-1.0,-1.0,1.0,1.0,1.0,-1.0,-1.0,-1.0,-1.0,-1.0,-1.0,-1.0,-1.0,-1.0,1.0,1.0,1.0,1.0,1.0,1.0,-1.0,-1.0,-1.0,-1.0,1.0,1.0,1.0,1.0,-1.0,-1.0,-1.0,-1.0,-1.0,-1.0,-1.0,1.0,1.0,1.0,1.0,1.0,1.0,-1.0,-1.0,-1.0,-1.0,-1.0,1.0,1.0,1.0,1.0,-1.0,-1.0,-1.0,1.0,1.0,1.0,-1.0,-1.0,-1.0,-1.0,-1.0,-1.0,1.0,1.0,1.0,1.0,1.0,-1.0,-1.0,-1.0,-1.0,-1.0,-1.0,-1.0,-1.0,-1.0,1.0,-1.0,-1.0,-1.0,1.0,-1.0,-1.0,-1.0,-1.0,-1.0,1.0,1.0,1.0,1.0,-1.0,-1.0,-1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,-1.0,-1.0,-1.0,1.0,-1.0,-1.0,1.0,1.0,1.0,1.0,-1.0,-1.0,-1.0,-1.0,-1.0),
X = structure(
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26667,0.0463267,51.5443,2.56818,0.0241312,18.908,9.46667,0.0910533,51.1831,2.71702,0.0289858,3.19044,-4.2,-0.0447266,0.3612,2.95,0.020095,66.1356,1.61168,0.0116243,19.5748,1.41667,0.00955,64.7059,1.58421,0.0120818,32.476,1.53333,0.010545,1.4297,0.0,0.0,0.0,0.0,0.0,0.0,10.32,0.084036,49.0523,4.20209,0.0457458,18.1551,-10.32,-0.084036,-49.0523,13.1,0.184327,32.4809,2.16564,0.0540302,5.72489,8.85,0.168195,25.9294,4.76734,0.109246,12.6352,4.25,0.016132,6.5515,12.925,0.175052,32.9826,2.21797,0.0517726,6.20438,10.225,0.127045,37.4817,3.94644,0.0657606,15.3223,2.7,0.048007,-4.4991,10.825,0.186198,28.4203,4.12242,0.0953308,11.7834,11.25,0.238332,24.9178,2.37434,0.0929459,9.70409,-0.425,-0.052134,3.5025,13.02,0.245176,23.8955,1.77189,0.0588457,7.84286,10.68,0.309534,22.9813,2.21305,0.116854,10.1435,2.34,-0.064358,0.9142,13.675,0.200477,31.4058,2.96131,0.0705775,10.2954,9.875,0.167612,29.2456,5.30183,0.103838,14.7553,3.8,0.032865,2.1602,14.45,0.224882,31.1903,2.17888,0.0776582,11.3898,11.95,0.161848,36.5669,4.81638,0.0871292,14.6373,2.5,0.063034,-5.3766,7.66667,0.32185,15.2348,2.19596,0.16187,11.0434,6.875,0.0474225,64.1309,3.24952,0.0241738,11.6051,0.79167,0.2744275,-48.8961,4.65,0.035325,62.2688,2.92874,0.0236356,23.1189,9.25,0.06283,62.7946,4.02337,0.0268884,4.44297,-4.6,-0.027505,-0.5258,8.825,0.0703825,57.7564,3.97421,0.0338739,20.0641,9.24,0.0633,65.3571,3.97774,0.0272002,6.29924,-0.415,0.0070825,-7.6007,6.26667,0.0683667,53.7713,2.55517,0.0315081,3.81881,4.35,0.03339,69.7816,2.67909,0.0219301,19.1859,1.91667,0.0349767,-16.0103,6.925,0.0408825,64.852,3.4669,0.0200706,12.7656,5.925,0.035145,70.346,2.6018,0.0152614,4.94242,1.0,0.0057375,-5.494,6.325,0.04198,64.0316,2.82301,0.0205707,8.03115,8.05,0.0551475,62.3354,3.34627,0.0216449,8.84929,-1.725,-0.0131675,1.6962,10.2,0.207255,31.6814,4.16653,0.142648,13.1619,10.475,0.19333,27.2291,4.15324,0.107117,10.5735,-0.275,0.013925,4.4523,10.775,0.0764025,64.9536,4.77749,0.0336346,20.5628,13.225,0.102175,59.5633,2.51483,0.0193621,5.95688,-2.45,-0.0257725,5.3903,12.825,0.087535,65.0292,3.52766,0.0229528,7.84662,14.45,0.108895,60.699,3.44928,0.030607,8.2884,-1.625,-0.02136,4.3302,10.4,0.198005,30.5385,3.96737,0.108986,12.7118,11.05,0.193882,27.3846,4.11673,0.0924739,10.4948,-0.65,0.004123,3.1539,1.65,0.0088925,64.803,1.44135,0.00940618,29.0874,4.675,0.02638,66.5668,3.24336,0.018031,24.4596,-3.025,-0.0174875,-1.7638,0.975,0.0125425,67.4103,0.93508,0.0171126,33.888,5.0,0.03026,69.305,3.3541,0.0203994,16.2325,-4.025,-0.0177175,-1.8947,3.025,0.0251425,66.9917,2.25264,0.0187647,23.3932,9.0,0.0590775,62.7472,3.48569,0.0216069,4.54966,-5.975,-0.033935,4.2445,0.0,0.0,0.0,0.0,0.0,0.0,5.1,0.034084,67.9059,3.1257,0.0214873,19.1492,-5.1,-0.034084,-67.9059,6.15,0.0463925,67.9146,4.49194,0.0358913,25.6466,6.275,0.0388275,68.6574,2.56892,0.0162556,6.39292,-0.125,0.007565,-0.7428
),
.Dim=c(508,15)),
s_num = c(1,2,2,2,2,2,2,2,2,1),
t_num=c(1,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,1),
s_adj = c(2, 1, 3, 2, 4, 3, 5, 4, 6, 5, 7, 6, 8, 7, 9, 8, 10, 9),
t_adj = c(2, 1, 3, 2, 4, 3, 5, 4, 6, 5, 7, 6, 8, 7, 9, 8, 10, 9, 11, 10, 12, 11, 13, 12, 14, 13, 15, 14, 16, 15, 17, 16, 18, 17, 19, 18, 20, 19, 21, 20, 22, 21, 23, 22, 24, 23, 25, 24, 26, 25, 27, 26, 28, 27, 29, 28, 30, 29, 31, 30, 32, 31, 33, 32, 34, 33, 35, 34, 36, 35, 37, 36, 38, 37, 39, 38, 40, 39, 41, 40, 42, 41, 43, 42, 44, 43, 45, 44, 46, 45, 47, 46, 48, 47, 49, 48, 50, 49, 51, 50, 52, 51, 53, 52, 54, 53, 55, 54, 56, 55, 57, 56, 58, 57, 59, 58, 60, 59, 61, 60),
j=c(5,4,9,4,4,8,3,9,3,2,3,10,7,5,7,10,8,6,3,8,3,3,3,3,4,4,9,9,6,7,7,4,4,4,2,4,3,6,9,3,4,5,5,7,5,3,5,8,5,5,3,10,3,4,4,4,3,4,2,9,5,4,3,9,7,4,4,6,4,4,7,4,4,3,9,3,9,5,4,5,10,8,4,4,7,3,7,3,7,10,5,7,2,7,8,8,4,8,2,6,8,3,4,10,5,5,8,7,8,3,7,4,8,3,9,7,8,3,8,9,9,3,3,7,8,4,2,6,6,7,9,5,9,5,3,4,3,9,4,3,3,8,6,2,7,8,4,3,3,3,3,3,4,7,7,3,7,5,7,5,5,3,7,3,3,6,5,9,8,10,10,6,9,3,3,6,5,3,4,6,4,10,9,3,3,8,6,7,6,4,6,6,4,5,5,4,9,4,7,8,6,6,6,3,5,4,6,10,10,6,3,4,10,3,8,4,4,3,5,8,10,3,5,10,10,10,10,9,5,4,8,2,3,10,4,8,8,3,6,4,9,9,4,6,6,7,5,3,2,4,7,4,5,6,7,5,7,7,7,7,5,4,3,10,5,4,4,7,7,8,7,5,9,9,4,6,8,5,3,2,4,8,3,4,2,8,8,7,7,8,8,5,3,8,3,8,7,7,9,7,3,7,3,4,3,4,4,8,9,7,4,4,5,7,7,3,4,9,7,9,6,5,5,9,3,8,6,3,3,8,9,10,5,7,4,8,3,8,5,3,10,7,6,5,5,4,6,7,3,8,4,10,9,4,4,4,4,3,3,9,8,8,3,6,3,4,4,10,2,5,6,4,8,3,5,5,9,10,3,6,6,8,8,6,10,4,10,9,4,4,10,5,3,3,8,8,4,7,10,4,6,10,2,3,6,6,3,3,4,6,4,8,4,9,5,6,4,4,3,3,5,5,8,5,3,4,3,3,3,4,4,3,3,7,10,6,7,5,3,4,4,3,6,3,3,4,4,3,4,8,4,9,7,4,4,4,3,3,8,3,10,8,6,4,4,10,3,10,3,7,7,6,3,5,10,5,10,7,7,3,3,10,10,4,3,6,4,5,5,5,3,6,6,3,5,4,2,8,6,5,7,7,5,9,9,5,8,8),
t=c(1,1,1,1,1,1,1,2,2,2,2,2,2,3,3,3,3,3,4,4,4,4,4,4,4,4,4,4,4,4,4,5,5,5,5,5,5,5,5,5,5,6,6,6,6,6,6,6,6,6,6,6,7,7,7,7,7,7,7,7,7,8,8,8,8,8,9,9,9,9,9,9,9,9,9,9,9,9,10,10,10,10,10,10,10,10,11,11,11,11,11,11,11,11,12,12,12,12,12,12,12,12,12,12,12,12,12,12,13,13,13,13,13,13,13,13,13,13,14,14,14,14,14,14,14,14,14,14,14,14,14,15,15,15,15,15,15,15,15,15,15,15,15,15,15,16,16,16,16,16,16,16,16,16,16,16,16,16,17,17,17,17,17,17,17,17,17,17,17,17,17,17,17,18,18,18,18,18,18,18,18,18,18,18,18,18,18,18,18,18,18,19,19,19,19,19,19,19,19,20,20,20,20,20,20,20,20,20,20,20,20,21,21,21,21,22,22,22,22,22,22,23,23,23,23,23,23,24,24,24,24,25,25,25,25,25,25,25,25,26,26,26,26,26,26,26,26,27,27,27,27,27,27,27,27,27,28,28,28,28,29,29,29,29,29,29,29,29,29,29,29,30,30,30,30,30,30,31,31,31,31,31,31,31,32,32,32,32,32,32,32,32,32,32,32,32,32,33,33,33,33,33,33,33,33,34,34,34,34,34,34,34,34,34,34,35,35,35,35,35,35,35,35,35,36,36,36,36,36,36,36,36,36,36,37,38,38,38,38,38,39,39,39,39,39,40,40,40,40,40,41,41,41,42,42,42,42,42,42,42,42,42,43,43,43,43,43,43,44,44,44,44,44,44,45,45,45,45,45,46,46,46,46,46,46,46,46,47,47,47,47,47,47,47,48,48,48,48,48,48,48,48,48,48,48,48,49,49,49,49,49,49,49,49,49,49,50,50,50,50,50,50,50,50,50,50,50,51,51,51,51,51,51,51,51,51,51,51,52,52,52,52,52,52,52,53,53,53,53,53,53,53,53,53,54,54,54,54,54,54,54,54,54,54,54,54,54,54,55,55,55,55,56,56,56,56,56,56,57,57,57,57,57,57,57,58,59,59,59,59,59,59,59,59,59,59,60,60,60,61,61,61,61,61,61,61,61,61),
s_sumNumNeigh =18,t_sumNumNeigh =120)

#INITIAL VALUES
list(s_tau = 1, t_tau=1,tauv=1,alpha = 0, beta = c(0,0,0,0,0,0,0,0,0,0,0,0,0,0,0), ejt=0,v=0,
u = c(0, 0, 0, 0, 0, 0, 0, 0, 0, 0),l = c(0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0))

出现报错：something went wrong in procedure updater. sample in module updater rejection.
不清楚什么问题，对照了变量的个数都是对的，update之前的步骤都没有问题。
请教各位大神可以帮我看看吗?