OpenMx Help

I'm not an OpenMx user, but I am trying to help somebody who is. We want to parallelize OpenMX models, sending them across many compute nodes in a Linux cluster. We can run with Rmpi or SNOW. (I see you support snowfall's approach to multicore, but I mean parallelization across many computers. We can run programs using snow, but not snowfall is not allowed (incompatible with OpenMPI)).

I am trying the following (see code below) and getting this error:

Error: The name 'mPA', 'mPA', 'mPA', 'mPA', 'mPA', 'mPA', 'mPA', 'mPA', 'mPA', and 'mPA' is illegal because it contains multiple '.' characters in mxMatrix("Full", nrow = 1, ncol = numManifest, values = 0.05, free = TRUE, dimnames = list(NULL, manifests), name = c(rep("mPA", embedD), rep("mPA", embedD)))

What am I missing? As far as I can tell, the names do not have any punctuation symbols in them.
~ Angela

numManifest <- 10
manifests <- c(paste("pos",0:4,sep=""),paste("str",0:4,sep=""))
embedD <- 5

> source('http://openmx.psyc.virginia.edu/getOpenMx.R')
Warning in install.packages(pkgs = c("OpenMx"), repos = repos) :
argument 'lib' is missing: using 'C:\Users\Sara\Documents/R/win64-library/2.11'
Warning: unable to access index for repository http://openmx.psyc.virginia.edu/packages/bin/windows64/contrib/2.11
Warning message:
In getDependencies(pkgs, dependencies, available, lib) :
package ‘OpenMx’ is not available

any suggestions?

Thank you!!

Sorry to open a topic just for this, but how do I cite the OpenMx software? (not the manual, I've got a ref for that)
Thanks,
Sanja

The R developers are aiming for a release of 2.12.0 sometime this fall. Here's what I would like to do with the OpenMx binary releases when the new version of R is released.

Hi, I haven't used OpenMx before, but I started by trying an example from the LISREL book (Joreskog & Sorbom).

I've reproduced the LISREL sample below and my translation to OpenMx based on reading the beginners section in the help. The error message I get is:

"Error: The job for model 'ex6' exited abnormally with the error message: Backing out of parameter space region where expected covariance is non-positive-definite."

I'm probably doing something silly here. Any help much appreciated!

======= lisrel code ========

Stability of Alienation
Observed Variables

hi,
Trying to get a multivariate ordinal ACE script going with different numbers of thresholds in each variable.

The script is running now, and attached below (self contained: pulls data from a url).

it gives the error

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)

Hello ~
I am getting an error that others have posted when using mxMatrix specification. Since a mxObjective statement is not required with mxPath specification (type="RAM"), I am unsure how to solve the problem. I have attached the script and data that are associated with the error. When I check rownames(), colnames(), and manifestVars names in R, I get the same list for each case.

Any thoughts?

Sincerely,
~ Angela

Could you please add this to the workshop list:

11th MRC Social, Genetic and Developmental Psychiatry Centre Summer School
12th – 16th July 2010
Institute of Psychiatry, King’s College London, London UK
Twin Model Fitting: Introducing the New OpenMx
Next year's OpenMx course: June 20th - 24th, 2011. Registration opens in October 2010.

This course will teach the basic principles of the classical twin model as well as the basic skills to analyze twin data by teaching delegates how to write simple scripts and how to interpret the output.

I'm learning SEM with the OpenMx documentation. First of all thanks for this I would agree your effort and attention.

I'm a beginner in SEM and I'm not sure about this question. I see a possible bug in documentation http://openmx.psyc.virginia.edu/docs/OpenMx/latest/Regression_Path.html. The specification of a multiple regression and multivariate regression talk about the covariance between x and z in a y equation (resp. z equation). This relation is specified in scripts like:
# covariance of x and z
mxPath(
from="x",
to="y",
arrows=2,