lab:projects:growth_curve_model_as_mnar
#WinBUGS codes generated by BAUW: http://bauw.psychstat.org
#USE WITH CAUTION!
Model{
# Model specification for linear growth curve model
for (i in 1:N){
LS[i,1:2]~dmnorm(muLS[i,1:2], Inv_cov[1:2,1:2])
muLS[i,1]<-bL[1]
muLS[i,2]<-bS[1]
for (t in 1:5){
y[i, t] ~ dnorm(muY[i,t], Inv_Sig_e2)
muY[i,t]<-LS[i,1]+LS[i,2]*t
z[i,t]~dnorm(muz[i,t], 1)I(L[i,t], U[i,t])
muz[i,t]<-b1[t]+b2[t]*y[i,t]
L[i,t]<- - (1-m[i,t])*1000
U[i,t]<- m[i,t]*1000
#m[i,t]~dbern(p[i,t])
#p[i,t]<-phi(b1[t] +b2[t]*y[i,t])
}
}
#Priors for model parameter
for (i in 1:1){
bL[i] ~ dnorm(0, 1.0E-6)
bS[i] ~ dnorm(0, 1.0E-6)
}
for (t in 1:5){
b1[t]~dnorm(0, 1.0E-3)
b2[t] ~dnorm(0, 1.0E-3)
}
Inv_cov[1:2,1:2]~dwish(R[1:2,1:2], 2)
R[1,1]<-1
R[2,2]<-1
R[2,1]<-R[1,2]
R[1,2]<-0
Inv_Sig_e2 ~ dgamma(.001, .001)
Sig_e2 <- 1/Inv_Sig_e2
Cov[1:2,1:2]<-inverse(Inv_cov[1:2,1:2])
Sig_L2 <- Cov[1,1]
Sig_S2 <- Cov[2,2]
Cov_LS <- Cov[1,2]
rho_LS <- Cov[1,2]/sqrt(Cov[1,1]*Cov[2,2])
}
# The (naive) starting values for model parameters.
list(bL=c(58), bS = c(3), Inv_Sig_e2 = .01, b1=c(-1.5, -1.5, -1.5, -1.5, -1.5), b2=c(0,0,0,0,0), Inv_cov= structure(.Data = c(1,0,0,1),.Dim=c(2,2)))
# Please put your data here. Remeber you can convert your data by BAUW--Convert Data. :)
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75.0, 78.0, 92.0, 94.0, 94.0,
68.0, 71.0, 56.0, 75.0, 67.0,
55.0, 61.0, 60.0, 64.0, 62.0,
63.0, 71.0, 66.0, 67.0, 3.0,
56.0, 50.0, 0.0, 59.0, 82.0,
62.0, 67.0, 63.0, 57.0, 3.0,
62.0, 53.0, 73.0, 65.0, 75.0,
56.0, 53.0, 51.0, NA, 57.0,
92.0, 70.0, 71.0, 75.0, 71.0,
NA, 59.0, 65.0, 64.0, 49.0,
71.0, 69.0, 69.0, 75.0, 93.0,
86.0, 82.0, 90.0, 91.0, 94.0,
86.0, 87.0, 92.0, 94.0, 93.0,
NA, 36.0, 41.0, 46.0, NA,
58.0, 54.0, 65.0, 64.0, 62.0,
69.0, 71.0, 87.0, 81.0, 94.0,
84.0, 35.0, 29.0, 26.0, 96.0,
50.0, 70.0, 68.0, 80.0, 100.0,
76.0, 59.0, 73.0, 89.0, NA,
75.0, 90.0, 92.0, 97.0, 99.0,
43.0, 43.0, 71.0, 46.0, 44.0,
40.0, 44.0, 40.0, 40.0, 41.0,
48.0, 48.0, 80.0, 84.0, 82.0,
70.0, 73.0, 91.0, 71.0, NA,
46.0, 45.0, 49.0, 63.0, 65.0,
38.0, 58.0, 66.0, 65.0, 62.0,
49.0, 46.0, 66.0, 65.0, NA,
74.0, NA, 70.0, 85.0, 68.0,
46.0, 75.0, 78.0, 74.0, 68.0,
70.0, 71.0, 87.0, 91.0, 90.0,
65.0, 40.0, 60.0, 70.0, 72.0,
61.0, 54.0, 56.0, 55.0, 65.0,
48.0, 43.0, 44.0, 80.0, 61.0,
35.0, 55.0, 57.0, 34.0, 54.0,
73.0, 72.0, 84.0, 84.0, 87.0,
NA, 39.0, 62.0, 33.0, 38.0,
63.0, 93.0, 81.0, 89.0, 72.0,
73.0, 79.0, 71.0, 75.0, 92.0,
63.0, 84.0, 75.0, 64.0, 66.0,
NA, 66.0, 55.0, 66.0, 50.0,
66.0, 68.0, 69.0, 68.0, 71.0,
61.0, 57.0, 38.0, 43.0, 71.0,
63.0, 53.0, 90.0, 85.0, 87.0,
NA, 54.0, NA, 70.0, 51.0,
66.0, 70.0, 60.0, 69.0, 47.0,
73.0, 94.0, 92.0, 95.0, 96.0,
61.0, 50.0, 49.0, 50.0, NA,
91.0, NA, 94.0, NA, 99.0,
83.0, 76.0, 72.0, NA, 76.0,
51.0, 57.0, NA, NA, 60.0,
50.0, 60.0, 63.0, 50.0, 50.0,
64.0, 75.0, 88.0, NA, 91.0,
24.0, NA, NA, 45.0, NA,
NA, 91.0, 93.0, 96.0, 95.0,
51.0, 49.0, 49.0, 99.0, 72.0,
62.0, 89.0, 91.0, 90.0, 92.0,
56.0, 65.0, 69.0, 4.0, 71.0,
63.0, 60.0, 69.0, 64.0, 68.0,
49.0, 67.0, 77.0, 90.0, 70.0,
68.0, 71.0, 71.0, 79.0, 83.0,
59.0, 68.0, 64.0, 62.0, 63.0,
55.0, 59.0, 68.0, 71.0, 50.0,
80.0, 81.0, 76.0, 99.0, 88.0,
48.0, 46.0, 45.0, 66.0, 61.0,
60.0, 68.0, 69.0, 70.0, 73.0,
57.0, 64.0, 68.0, 68.0, 67.0,
63.0, 73.0, 70.0, 57.0, 63.0,
51.0, 60.0, 53.0, 51.0, 47.0,
60.0, 74.0, 69.0, 83.0, 69.0,
53.0, 58.0, 61.0, 61.0, 63.0,
60.0, 62.0, 57.0, 60.0, 73.0,
66.0, 75.0, 75.0, NA, 73.0,
53.0, 38.0, 36.0, NA, 40.0,
47.0, 37.0, 99.0, 98.0, 71.0,
60.0, 60.0, 94.0, NA, 62.0,
69.0, NA, 71.0, 87.0, 93.0,
48.0, 23.0, 26.0, 41.0, 52.0,
54.0, 38.0, 53.0, NA, 59.0,
55.0, 59.0, 57.0, 74.0, 76.0,
65.0, 80.0, 68.0, 72.0, 83.0,
38.0, 54.0, 44.0, 52.0, 54.0,
38.0, 28.0, 54.0, 66.0, 67.0,
17.0, 40.0, 8.0, 22.0, 25.0,
25.0, 26.0, 70.0, 18.0, 63.0,
NA, 73.0, 62.0, 85.0, 63.0,
48.0, 44.0, 59.0, 53.0, 61.0,
58.0, 70.0, 69.0, 61.0, 60.0,
80.0, 88.0, 87.0, 93.0, 93.0,
64.0, 66.0, 86.0, 86.0, 82.0,
23.0, 1.0, NA, 55.0, 52.0,
65.0, 68.0, 64.0, 69.0, NA,
85.0, 73.0, 58.0, 64.0, 60.0,
55.0, 67.0, 69.0, 77.0, 73.0,
45.0, 52.0, 56.0, 52.0, 75.0,
31.0, 19.0, 19.0, 50.0, 28.0,
20.0, 23.0, 38.0, 38.0, 50.0,
56.0, 68.0, 72.0, 70.0, 67.0,
64.0, 78.0, 80.0, 74.0, NA,
60.0, 54.0, 66.0, 67.0, NA,
44.0, 38.0, 47.0, 65.0, NA,
60.0, 61.0, 63.0, 60.0, 68.0,
54.0, 62.0, 69.0, 51.0, 65.0,
49.0, 47.0, 68.0, 62.0, 72.0,
44.0, 49.0, 47.0, 47.0, 52.0,
63.0, 73.0, 72.0, 88.0, 87.0,
65.0, 77.0, 93.0, NA, 71.0,
92.0, 93.0, 97.0, 97.0, 100.0,
60.0, 75.0, 83.0, 69.0, 68.0,
59.0, 68.0, 73.0, 75.0, 81.0,
83.0, 96.0, 88.0, 93.0, 96.0,
20.0, 61.0, 58.0, 21.0, 40.0,
76.0, 81.0, 85.0, 67.0, 69.0,
73.0, 49.0, 56.0, 42.0, 53.0,
NA, 46.0, 59.0, 57.0, NA,
69.0, 82.0, NA, 72.0, 71.0,
65.0, 69.0, NA, 79.0, 83.0,
42.0, 44.0, 47.0, 50.0, 59.0,
61.0, 68.0, 72.0, 73.0, 76.0,
87.0, 90.0, 92.0, 97.0, 90.0,
67.0, 74.0, 69.0, 77.0, 95.0,
90.0, 92.0, 90.0, 91.0, 100.0,
65.0, 59.0, 51.0, NA, 72.0,
NA, 59.0, 61.0, 100.0, 62.0,
85.0, 90.0, 89.0, 90.0, 88.0,
70.0, 69.0, 64.0, 78.0, 87.0,
59.0, 75.0, 69.0, 70.0, 76.0,
71.0, 65.0, 91.0, 94.0, NA,
76.0, 80.0, 73.0, 75.0, 78.0,
69.0, NA, 80.0, 71.0, 96.0,
48.0, 57.0, 60.0, 59.0, 67.0,
54.0, 41.0, 59.0, 68.0, 38.0,
58.0, 67.0, 94.0, 95.0, 93.0,
54.0, 48.0, 58.0, 70.0, 70.0,
64.0, 54.0, 52.0, 35.0, 51.0,
53.0, 72.0, 68.0, 66.0, 79.0,
60.0, 70.0, 67.0, 65.0, 72.0,
31.0, NA, 40.0, 46.0, 52.0,
59.0, 61.0, 69.0, NA, NA,
59.0, 50.0, 100.0, 61.0, 97.0,
67.0, 76.0, 74.0, 75.0, 83.0,
62.0, 92.0, NA, NA, 55.0,
52.0, 66.0, 92.0, 76.0, 64.0,
42.0, 6.0, 48.0, 75.0, 1.0,
81.0, 73.0, NA, NA, 72.0,
34.0, 36.0, 44.0, 54.0, 40.0,
66.0, 70.0, NA, NA, 91.0,
86.0, 56.0, 70.0, NA, 46.0,
66.0, 72.0, 79.0, NA, 79.0,
49.0, 73.0, 70.0, 78.0, 68.0,
62.0, 50.0, 61.0, 81.0, 65.0,
93.0, 90.0, 97.0, 98.0, 100.0,
22.0, 20.0, NA, 27.0, 68.0,
70.0, 70.0, 79.0, 83.0, 85.0,
81.0, NA, NA, 91.0, 92.0,
58.0, 73.0, 73.0, 97.0, 73.0,
NA, 5.0, 32.0, 39.0, 44.0,
95.0, 98.0, 97.0, 97.0, 95.0,
54.0, 60.0, 60.0, 70.0, 71.0,
72.0, 70.0, NA, NA, 72.0,
NA, 49.0, 61.0, 56.0, 54.0,
NA, 82.0, 72.0, 95.0, 65.0,
NA, 71.0, 87.0, 67.0, 76.0,
68.0, 56.0, 88.0, 80.0, NA,
55.0, 88.0, 76.0, 94.0, 89.0,
78.0, 77.0, 88.0, 88.0, 87.0,
86.0, 91.0, 91.0, 88.0, 96.0,
62.0, 69.0, NA, 49.0, NA,
31.0, 45.0, 50.0, 41.0, 58.0,
46.0, 64.0, NA, 73.0, 70.0,
61.0, 67.0, 64.0, 65.0, 58.0,
59.0, 56.0, 59.0, 75.0, 56.0,
NA, 66.0, 57.0, 71.0, NA,
29.0, 44.0, 44.0, 42.0, 63.0,
49.0, 52.0, 54.0, 62.0, 59.0,
43.0, 78.0, 70.0, 90.0, 69.0,
83.0, 68.0, 76.0, 71.0, 69.0,
63.0, 65.0, 79.0, 72.0, 65.0,
55.0, 59.0, 59.0, 58.0, 59.0,
51.0, 69.0, 52.0, 60.0, 38.0,
28.0, 61.0, NA, 59.0, NA,
58.0, 56.0, 67.0, 66.0, 67.0,
54.0, 47.0, 58.0, 59.0, 58.0,
NA, 40.0, 55.0, 68.0, 70.0,
46.0, 61.0, 54.0, 70.0, 73.0,
44.0, 56.0, 66.0, 54.0, 67.0,
63.0, 69.0, 66.0, 68.0, 71.0,
46.0, 54.0, 64.0, 49.0, 68.0,
NA, 69.0, 78.0, 58.0, 64.0,
NA, 57.0, 60.0, 74.0, 51.0,
68.0, 37.0, 51.0, 56.0, 56.0,
74.0, 64.0, 78.0, 80.0, 73.0,
70.0, 65.0, 65.0, 59.0, 66.0,
83.0, 73.0, 91.0, 93.0, 92.0,
74.0, 70.0, 53.0, 64.0, 64.0,
59.0, 56.0, 80.0, 57.0, 54.0,
72.0, NA, NA, 49.0, 50.0,
78.0, 91.0, 89.0, 87.0, 82.0,
31.0, 1.0, 47.0, 49.0, 57.0,
84.0, 77.0, 65.0, 87.0, 64.0,
63.0, 0.0, 64.0, 71.0, 73.0,
42.0, 50.0, 57.0, 57.0, 62.0,
31.0, 37.0, 57.0, 41.0, 39.0,
54.0, 71.0, 88.0, 88.0, 87.0,
54.0, NA, 53.0, 46.0, 71.0,
60.0, 62.0, 62.0, 61.0, 87.0,
81.0, 61.0, 72.0, 80.0, 88.0,
88.0, 90.0, 70.0, 92.0, 93.0,
24.0, 30.0, 27.0, 27.0, 20.0,
63.0, 58.0, 64.0, 51.0, 64.0,
79.0, 80.0, 82.0, 87.0, 86.0,
46.0, 48.0, 63.0, 68.0, 65.0,
66.0, 69.0, 76.0, 69.0, 65.0,
68.0, 69.0, 68.0, 70.0, 87.0,
59.0, 60.0, 64.0, 61.0, 72.0,
73.0, 86.0, 88.0, 90.0, NA,
69.0, 65.0, 69.0, 74.0, NA), .Dim = c(375,5)))
lab/projects/growth_curve_model_as_mnar.txt · Last modified: 2016/01/24 09:48 by 127.0.0.1