OpenMx Help
pgseye
Joined: 10/13/2009
Set probability precision
Hi,
Is there a way to set the precision of the reported p values to more than 2 decimal places. It might be something simple, but I can't find it in the documentation.
Thanks,
Paul
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rabil
Joined: 01/14/2010
Should the degrees of freedom depend on how the data are input?
I'm running OpenMx 1.0.2 on Ubuntu 10.04. OpenMx shows the degrees of freedom differently for using raw data than for using the covariance matrix (and means vector). The model has one factor with 6 indicators and 9 parameters are being estimated (some parameters are constrained to equal other parameters).
Here is the output for the raw data:
observed statistics: 120
estimated parameters: 9
degrees of freedom: 111
-2 log likelihood: 894.0595
saturated -2 log likelihood: NA
number of observations: 20
chi-square: NA
p: NA
AIC (Mx): 672.0595
BIC (Mx): 280.7666
tbates
Joined: 07/31/2009
Error in mxVersion() : subscript out of bounds (using R 2.12.0 and OpenMx 1.0.2)
Hi There,
Student had problem running a script today having updated to R version 2.12.0 (2010-10-15) in order to run OpenMx 1.0.2
Model (previously running fine) came back with error:
CP_fit1 = mxRun(CP_Model1)
Running fullCommon
Error in mxVersion() : subscript out of bounds
trying mxVersion itself, I now get
mxVersion()
Error in mxVersion() : subscript out of bounds
After quitting R, and restarting... error persists
jone1087
Joined: 11/05/2010
trying to get correct standard errors for standardized regression coefficients
Hello all,
I am trying to get the correct standard errors for standardized regression coefficients. According to Bentler and Lee (1983) this can be done using nonlinear constraints. I have tried two different model specifications with nonlinear constraints, both of which yield the correct parameter estimates, but neither give correct standard errors (they are returning zeros). Any help would be appreciated. My R code and output are below.
Thanks,
Jeff
pgseye
Joined: 10/13/2009
Install without internet access?
Hi,
I tried a model last week that was still running after 4 days and was really consuming too much CPU for efficient computer use. I've got an older Windows box that I don't really use for anything and thought I might just let the models run on that to free up my normal machine. But it's not really connectable to the net to download OpenMx - can you install off a USB drive somehow?
Thanks,
Paul
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mthornto
Joined: 10/19/2010
endogenous latent variables
Hi all,
I'm new to SEM and OpenMx, but I've been working on replicating models from a paper in which my advisor was involved. I've managed to do so successfully with most of the models in the paper, but two are puzzling me. They are the only two involving endogenous latent variables (the others being measurement models), so I assume this has something to do with it.
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John Williams
Joined: 10/18/2010
Error compiling on GNU/Linux (Ubuntu)
Hi,
Firstly, thank you very much indeed for your efforts in providing this wonderful tool to the R "community". I'm trying to install it on a 32-bit GNU/Linux environment (Ubuntu Maverick, to be precise) with R 2.12.0. When compiling from source the build fails because it can't find the function or variable "errno". Is there are fix or workaround available? Thanks again,
John
> trying URL 'http://openmx.psyc.virginia.edu/packages/src/contrib/OpenMx_1.0.1-1464.tar.gz'
[snip]
* installing *source* package ‘OpenMx’ ...
checking for gcc... gcc
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wuhao_osu
Joined: 09/07/2010
Treatment of code 6
Hello,
I got several code 6 when running simulations. Some of those cases have a near singular estimated hessian, though the calculated hessian is fine. Is this the source of non-convergence? Would it work to re- run the data with the parameter estimates as initial values? Is it possible to have the optimizer use the calculated hessian all the time?
Thanks
- Hao
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tbates
Joined: 07/31/2009
code blue and what to do about it
Question from a user: What is code blue, what should one do, and where is it documented?
In model 'common_path_constraint_ACE' NPSOL returned a non-zero status code 4. The major iteration limit was reached (Mx status BLUE).
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dadrivr
Joined: 01/19/2010
Obtaining fit indices (CFI, RMSEA, etc.) with FIML
Is it possible to obtain fit statistics such as CFI, RMSEA, etc. with FIML? The model I'm currently running does not output the desired fit indices (see below). After reading some of the threads, it appears that I would need to use FIML estimation to fit a saturated model, and then compare the predicted model to the saturated model. Is that correct? Could someone explain a little more how to do that? Sorry, I'm new to OpenMx. Thanks so much for your help, and I love the program so far!
Here's the output from my model:
observed statistics: 276
estimated parameters: 23