model
options
maxthreads=all;
algorithm
tolerance=1e-008 emtolerance=0.01 emiterations=250 nriterations=50 ;
startvalues
seed=0 sets=16 tolerance=1e-005 iterations=50;
bayes
categorical=1 variances=1 latent=1 poisson=1;
montecarlo
seed=0 sets=0 replicates=500 tolerance=1e-008;
quadrature nodes=10;
missing excludeall;
output
parameters=first standarderrors estimatedvalues=model;
variables
caseid ID;
dependent X, kT cumlogit;
independent item nominal;
latent
Ability continuous,
Speed continuous,
Cluster nominal 2 dynamic;
equations
(1) Ability;
Speed;
Ability <-> Speed;
Cluster <- 1;
X <- 1 | Item Cluster + (+) Ability | Item Cluster;
kT <- 1 | item + (-) Cluster + (aa) Speed;
aa[1,1]=-1;
end model