OpenMx Help

Dear all, Please help me fixing this problem.

The data set has (please see example diagram)
+ 3 continuous variables(X1, X2, X3) for a latent variable (intercept)
+ 3 mediators (one binary X8 and two categorical variables X6, X7)
+ 1 dependent variable (X4).

This coding was based on the post about Categorical Data in both independent and dependent variables http://openmx.psyc.virginia.edu/thread/3883

When I run SEM.R model I have following error message.

Error in mxRAMObjective(A = "A", S = "S", M = "M", thresholds = "Threshold") :

Hi,
I am trying to fit a saturated twin model to 9 ordinal variables (representing age at observation), in which participants have either 1, 2 or 3 observations each. Thus, there is quite a bit of missing data.

When running the model I get the following error: Sat5.fitfunction is not finite.

Here is info about version and platform:
OpenMx version: 2.0.1.4157
R version: R version 3.1.1 (2014-07-10)
Platform: x86_64-w64-mingw32
Default optimiser: NPSOL

I am using the Kalman filter implementation (mxExpectationStateSpace) to fit a time-discrete vector auto-regressive model to single subjects' multivariate time series. If I'm not mistaken, the Kalman filter generates (predicted and updated) process state estimates for each but the first time point. Is it possible to pull these state estimates out online while the data are being filtered?

I can see several twin data sets that come with OpenMx, for example, the DZO data described by following page:

http://openmx.psyc.virginia.edu/docs/OpenMx/latest/_static/Rdoc/dzoData.html

Would anyone please provide more background about this data? The sample size seems to indicate that it is not simulated data, but no descriptions are given for the variables.

I would appreciate it. Thanks.

Dear all,

Am I doing something wrong? I was surprised when my model seemed to be ignoring my definition variables, but then I also notice that mxEval interprets them all as NA... this is using a build from yesterday, 1st Feb 2015, on 64 bit windows.

data(demoOneFactor)
nvar <- ncol(demoOneFactor)
varnames <- colnames(demoOneFactor)
demoOneFactorInputs <- cbind(demoOneFactor, V1=rnorm(nrow(demoOneFactor)))
ssModel <- mxModel(model="State Space Inputs Manual Example",
mxMatrix("Full", 1, 1, TRUE, .3, name="A"),
mxMatrix("Full", 1, 1, TRUE, values=1, name="B"),

Dear all,

Did anyone have a warning like:

"Warning message:
In runHelper(model, frontendStart, intervals, silent, suppressWarnings, :
Protection stack too large; report this problem to the OpenMx forum"

Does anyone know how we can handle this?

Other information:

- The version of OpenMx: 2.0.0-4004 MASS_7.3-35
- The version of R: 3.1.2
- The operating system and architecture: x86_64, Apple OSX 10.8.5.
- R syntax that brings this warning is a command in "metaSEM": --tssem1--

Thanks!