OpenMx 2.2.3 with SLSQP optimizer
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Mike Cheung
Joined: 10/08/2009
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I am testing the SLSQP optimizer in the GitHub version (OpenMx 2.2.3). It seems that it will return an error code 6 when the estimates hit the lower bounds. The NPSOL optimizer seems to work fine in this case. The -2logLikelihoods of both solutions are equal (up to 4 decimal places). Please see the attached examples.
what is the correct behavior?
The gradient of this model is clearly not close to zero,
Hence, I argue that the behavior of SLSQP is correct and NPSOL is wrong. Don't we want a code 6 in this circumstance?
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In reply to what is the correct behavior? by jpritikin
okay, you are correct
Try v2.2.3-11-g35fa1d1
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