Add constraint to ML model to keep thresholds in order
omxConstrainMLThresholds(model, dist = 0.1)a new MxModel object with the constraints added
the MxModel to which constraints should be added
unused
This function adds a nonlinear constraint to an ML model. The constraint keeps the thresholds in order. Constraints often slow model estimation, however, keeping the thresholds in increasing order helps ensure the likelihood function is well-defined. If you're having problems with ordinal data, this is one of the things to try.
demo("omxConstrainMLThresholds")