Add constraint to ML model to keep thresholds in order
Usage
omxConstrainMLThresholds(model, dist = 0.1)
Arguments
model
the MxModel to which constraints should be added
dist
unused
Value
a new MxModel object with the constraints added
Details
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.