Model
#likelihood
for(i in 1:n){
for(j in 1:m-1){
x[i,j]~ dnorm( mu[i,j], tau0[i])
DATA
list(
n=3, m=24,
t=c(0,30,60,90,120,150,180,210,240,270,300,330,360,390,420,
450,480,510,540,570,600,630,660,690)
x= structure(
.Data=c(6.4594, 5.5841, 3.2052, 1.1038, 0.4131, 0.2411, 0.2547, 0.2912, 0.2756, 0.2594, 0.2318, 0.2295, 0.2532, 0.226, 0.1925, 0.2582, 0.28, 0.2748, 0.3253, 0.2603, 0.2411, 0.2749, 0.2753, 6.9293, 5.5254, 3.1079, 0.7795, 0.2667, 0.2979, 0.2528, 0.3239, 0.3186, 0.2133, 0.292, 0.2674, 0.3593, 0.2767, 0.229, 0.25, 0.2926, 0.308, 0.2468, 0.2975, 0.3307, 0.2629, 0.2767, 6.8042, 6.1303, 2.4055, 0.8204, 0.193, 0.275, 0.3019, 0.2845, 0.252, 0.2498, 0.1863, 0.2808, 0.3119, 0.3211, 0.324, 0.1898, 0.3368, 0.3187, 0.1681, 0.2334, 0.3163, 0.3208, 0.2804),
. Dim = c(3, 23)))