OpenMx Help

Hello,
I am new to OpenMX.I tried to install openmx ,but i get this error message on my r-terminal. How to install openmx in my windows 10 system? I want to be able to know how much memory have OpenMX.? Please give me more details?

While running simulations with the development version of OpenMx, I ran into an interesting error:

Error in runHelper(model, frontendStart, intervals, silent, suppressWarnings, :
NLOPT unrecognized error -1; please report to developers

It is somewhat difficult to replicate and it took some time to put together the attached example. As you may see in the attached, I read in the same dataset and fit the same model 10 times, obtaining likelihood-based CIs each time for a single parameter. The error only shows up for some replications.

Thought you all should know!

Is there a function to put the computed value of all parameters determined by a bracket address (e.g. var[1,1] ) into the appropriate values cell(s) in the model?

Background and use-case: OpenMx allows us to use labels to set the value of a parameter (matrix cell). Here's a RAM model where I insert the value of covXY into the row 2, column1 of the symmetric path (S) matrix:


m1$S
$labels
x y
x "x_with_x" "covXY[1,1]"
y "covXY[1,1]" "y_with_y"



$values
x y
x 1.198632 0.000000
y 0.000000 2.018483


It will often be easiest to simply recreate your model in OpenMx or to use umx’s umxRAM function. This will also lead to to nicer code, taking advantage of OpenMx’s features.

For automated translation of lavaan syntax into OpenMx, metaSEM provides the lavaan2RAM function.

If you create a multi-group model by simply embedding the group models in a container, be sure an add an explicit model name or put the fit function first. Otherwise mxModel will interpret the first parameter as a base model to update, and adding the multigroup function will cause a "cycle" - a reference that resolves back to itself.

works:

myModel = mxModel("twoGroups", m1, m2, mxFitFunctionMultigroup(c("female", "male")))


Fails:

myModel = mxModel(m1, m2, mxFitFunctionMultigroup(c("female", "male")))