Running ACE
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)
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.
Comments
#1
This still causes an error.
Running ACE
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)
#2
Should be closed now?
The error was just not telling people the starting values were infeasible?
#3
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
because it tries to compute confidence intervals even though there's a status 10 and the base fit function value is INF/NaN.
#4
> However, with intervals=TRUE it currently returns the error
Should be fixed with 3e864c52
#5
Fixed.