OpenMx Help

Hi everyone,

I am trying to run a joint ordinal-continuous model.
In my model I have a continuous variable (varA) and an ordinal variable with 1 threshold (varB).
There are 5 zygosity groups (MZM, DZM, MZF, DZF, DOS) and a covariate age which
I modeled separately for men and women.

The model is actually running perfectly fine (no errors) and the estimates for the thresholds for varB
look good and are what I would have expected.
However, the estimates for the means are all way too low when I compare them with the raw data.

Hi OpenMxers,
I want to determine automatically which order to put models into mxCompare so that the model with more degrees of freedom comes first.

Both models have been run, and I can access a models number of estimated parameters from summary(model).

summary() however, can be costly in terms of execution time: Is there a way to access the EP (or df) property from the model directly without calling summary?

Besten Wünsche,
tim

FYI, the situation I am trying to automate is avoiding this:

|Model        | EP|Delta-2LL |Delta df|p  |      AIC|Compare with Model |

Hi all,

I'm running a Qualitative Sex Differences ACE model and I'm using the mxRefModels to get the reference models, but for some variables I get a error:

>mxRefModels(QualAceFit_rg, run = T)
Error in chol.default(sampcov) :
the leading minor of order 1 is not positive definite
> mxVersion()
OpenMx version: 2.3.1 [GIT v2.3.1]
R version: R version 3.2.1 (2015-06-18)
Platform: x86_64-w64-mingw32
Default optimiser: NPSOL


Hello everyone,

I am struggling with a “band dispersion” problem.
I am trying to execute my input file with the following command:

% ./openmx input_file_name.dat

and I get the following error:

Error: unexpected input in "% ./openmx input_file_name.dat"

any idea how to fix it?

PS:
I'm working in the directory where my input file is.
I am using the latest version of OpenMX under R 3.2.2 on Win10 (64-bit).