Error Message - LCGA 1 Class

I have no idea how to interpret the error message you report. It doesn't look familiar to me. You may be able to get more information about what caused it if you run `traceback()` right after your call to `mxTryHard()`. Since you seem to have successfully assigned the output from `mxTryHard()` to symbol `mxTryHard_lcga.1.means.fit` and were able to run `summary()` on it, I'm guessing the error wasn't fatal, and probably accounts for 1 of the 2 fit attempts that `mxTryHard()` says ended in errors.

I should warn you that your model is unidentified. Specifically, the parameter labeled 'p1' shouldn't be free. Just fix it to 1.

Also, I suggest either using simulated annealing without `mxTryHard()`, or using one of the main gradient-based optimizers with `mxTryHard()`. One way to interpret what `mxTryHard()` does is that it crudely approximates simulated annealing with a deterministic gradient-based optimizer. However, if you're actually using simulated annealing, you are better off letting it do one very long run; consult the manual page for `mxComputeSimAnnealing()`, regarding in particular the control parameters `tempStart`, `tempEnd`, and `stepsPerTemp`. In fact, if you put the following compute plan into your MxModel, you can do a global search with simulated annealing and follow it up with a local search using one of the gradient-based optimizers:
plan <- omxDefaultComputePlan()
plan$steps <- list(
SA=mxComputeSimAnnealing(),
GD=plan$steps$GD,
ND=plan$steps$ND,
SE=plan$steps$SE,
HQ=plan$steps$HQ,
RD=plan$steps$RD,
RE=plan$steps$RE
)


Define `plan` like this:

plan <- omxDefaultComputePlan()
plan$steps <- list(
SA=mxComputeSimAnnealing(method='tsallis1996', control=list(stepsPerTemp=3)),
GD=plan$steps$GD,
ND=plan$steps$ND,
SE=plan$steps$SE,
HQ=plan$steps$HQ,
RD=plan$steps$RD,
RE=plan$steps$RE
)

And, define your main MxModel like this:

gmm.2.means <- mxModel('2Class Means Growth Mixture Model',
mxData(observed=OpenMx_dfwide_poster1, type='raw'),
class1, class2, classRP, classP, algObj, obj, plan)

Note that simulated annealing is not user-interruptible in OpenMx v2.12.2. That's a bug that has been repaired in the source repository, and will be repaired in the next release of OpenMx (which will likely happen by the end of the month).