## Not run:
# data(issp05)
#
# #### Fixed-effects TSSEM
# fixed1 <- tssem1(issp05$data, issp05$n, method="FEM")
# summary(fixed1)
#
# ## Prepare a model implied matrix
# ## Factor correlation matrix
# Phi <- create.mxMatrix( c("0.3*corf2f1","0.3*corf3f1","0.3*corf3f2"),
# type="Stand", as.mxMatrix=FALSE )
#
# ## Error variances
# Psi <- create.mxMatrix( paste("0.2*e", 1:7, sep=""), type="Diag",
# as.mxMatrix=FALSE )
#
# ## Create Smatrix
# S1 <- bdiagMat(list(Psi, Phi))
# ## dimnames(S1)[[1]] <- dimnames(S1)[[2]] <- c(paste("x",1:7,sep=""),
# ## paste("f",1:3,sep=""))
# ## S1
# S1 <- as.mxMatrix(S1)
#
# ## Factor loadings
# Lambda <- create.mxMatrix( c(".3*f1x1",".3*f1x2",".3*f1x3",rep(0,7),
# ".3*f2x4",".3*f2x5",rep(0,7),".3*f3x6",".3*f3x7"),
# type="Full", ncol=3, nrow=7, as.mxMatrix=FALSE )
# Zero1 <- matrix(0, nrow=7, ncol=7)
# Zero2 <- matrix(0, nrow=3, ncol=10)
#
# ## Create Amatrix
# A1 <- rbind( cbind(Zero1, Lambda),
# Zero2 )
# ## dimnames(A1)[[1]] <- dimnames(A1)[[2]] <- c(paste("x",1:7,sep=""),
# ## paste("f",1:3,sep=""))
# ## A1
# A1 <- as.mxMatrix(A1)
#
# ## Create Fmatrix
# F1 <- create.Fmatrix(c(rep(1,7), rep(0,3)))
#
# #### Fixed-effects model: Stage 2 analysis
# fixed2 <- tssem2(fixed1, Amatrix=A1, Smatrix=S1, Fmatrix=F1,
# intervals.type="LB")
# summary(fixed2)
# ## End(Not run)
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