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library(xxm)
ex96 <- read.table("ex9.6.dat")
ex96$V8 <- as.integer(ex96$V8)
bData <- ex96[!duplicated(ex96$V8), c('V7', 'V8')]
colnames(bData) <- c('w', 'clusterID')
bData <- bData[,c('clusterID', colnames(bData)[-2])]
wData <- ex96[,-match(c('V7'), colnames(ex96))]
colnames(wData) <- c(paste0('y', 1:4), paste0('x', 1:2), 'clusterID')
wData$within <- 1:nrow(wData)
wData <- wData[,c('within', 'clusterID', colnames(wData)[c(-7,-8)])]
m1 <- xxmModel(levels = c("within", "clusterID"))
wModel <- xxmSubmodel(model = m1, level = "within", parents = c("clusterID"),
ys = paste0('y', 1:4),
xs = paste0('x', 1:2),
etas = "fw",
data = wData)
cModel <- xxmSubmodel(model = m1, level = "clusterID", parents = ,
ys = , xs = 'w',
etas = c("fb"), data = bData)
# -------------------------- clusterID model
# observed to latent
cModel <- xxmWithinMatrix(model = cModel, level = "clusterID", "gamma",
pattern=matrix(1, 1, 1),
value=matrix(.5, 1, 1))
# latent covariance
cModel <- xxmWithinMatrix(model = cModel, level = "clusterID", "psi",
pattern=diag(c(1)),
value=diag(c(1)))
# -------------------------- within model
# loadings
wModel <- xxmWithinMatrix(model = wModel, level = "within", "lambda",
pattern = matrix(c(0, 1, 1, 1), 4, 1),
value = matrix(rep(1,4), 4, 1))
# residuals
wModel <- xxmWithinMatrix(model = wModel, level="within", "theta",
pattern=diag(4), value=diag(4))
# observed intercepts
wModel <- xxmWithinMatrix(model = wModel, level="within", "nu",
pattern=matrix(1,4,1), value=matrix(0,4,1))
# latent intercepts
wModel <- xxmWithinMatrix(model = wModel, level="within", "alpha",
pattern=matrix(c(0),1,1),
value=matrix(0,1,1))
# latent covariance
wModel <- xxmWithinMatrix(model = wModel, level="within", "psi",
pattern=diag(c(1)),
value=diag(c(1)))
# observed to latent
wModel <- xxmWithinMatrix(model = wModel, level="within", "gamma",
pattern=matrix(1, 1, 2),
value=matrix(.5, 1, 2))
m1 <- xxmBetweenMatrix(model = m1, parent = "clusterID", child = "within",
type = "lambda",
pattern = matrix(c(0, 1, 1, 1), 4, 1),
value = matrix(rep(1,4), 4, 1))
m1 <- xxmRun(m1)
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