This still causes an error.
Error: The job for model 'ACE' exited abnormally with the error message: MxComputeGradientDescent: fitfunction ACE.fitfunction evaluated to 1.#INF00 ()
In addition: Warning message:
In model 'ACE' Optimizer returned a non-zero status code 6. The model does not satisfy the first-order optimality conditions to the required accuracy, and no improved point for the merit function could be found during the final linesearch (Mx status RED)
Should be closed now?
The error was just not telling people the starting values were infeasible?
Perhaps a slight bug still. Bates is right that the starting values are infeasible. This is returned correctly now. However, with intervals=TRUE it currently returns the error
Error in runHelper(model, frontendStart, intervals, silent, suppressWarnings, :
MxComputeConfidenceInterval: reference fit is not finite
because it tries to compute confidence intervals even though there's a status 10 and the base fit function value is INF/NaN.
> However, with intervals=TRUE it currently returns the error
Should be fixed with 3e864c52
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