OpenMx Help
Veronica_echo
Joined: 02/23/2018
bootstrap coverage probability and the bootstrap replication
Hi everyone,
I am conducting a simulation study of a growth model and would like to evaluate the bootstrap CP of it. I kept the simulation replication as 1000 and set bootstrap replication as 1000 and 2000, respectively. The results seemed wiered, since the CPs of bootstrap 1000 (all of them were located between (0.93, 0.97)) were much better than those of bootstrap 2000 (some CPs were quite low, say 0.86). Any advice about this issue? Should I increase the bootstrap replication to a larger number, say 5000? Thank you in advance.
Veronica_echo
Joined: 02/23/2018
How to exclude warnings from simulation study?
Hi everyone,
dtofighi
Joined: 10/12/2009
OpenMx on R 3.5.0 (2018-04-23)
Hello,
I used the following code to install the latest version of OpenMx on macOS 10.13.4. I got the following error.
- Read more about OpenMx on R 3.5.0 (2018-04-23)
- 3 comments
- Log in or register to post comments
felix.fischer
Joined: 04/26/2018
compilation of OpenMx fails in ubuntu 14.04
Hi,
i am trying to install OpenMx on a ubuntu server, R version 3.4.4, 64 bit, but compilation fails and i cannot really make sense of the error message. I ran sudo apt-get upgrade and dist-upgrade, but it did not help.
ffischer@common-metrics:~$ sudo su -c "R -e \"install.packages('OpenMx', repos = 'http://cran.rstudio.com' )\""
[sudo] password for ffischer:
- Read more about compilation of OpenMx fails in ubuntu 14.04
- 5 comments
- Log in or register to post comments
Veronica_echo
Joined: 02/23/2018
parallel computation in linux cluster
Hi everyone,
I want to conduct several 10,000-simulations for an OpenMx model in Linux cluster. I have over 20 parameters in the model and for each parameter, I need 1000-bootstrap confidence interval to test the coverage. I've add lines in below screenshot, and there are 16 cores available for OpenMx. Even though, the simulation may take about one month at my best guess. Could someone kindly advise some other ways to speed up my simulations? Thanks in advance.
- Read more about parallel computation in linux cluster
- 4 comments
- Log in or register to post comments
Veronica_echo
Joined: 02/23/2018
Create a function to generate mxMatrix and mxAlgebra
Hi everyone,
I am writing an R function which can create and run an OpenMx model. I can do it in a simple way. Partial codes are shown below. However, I have over 20 definition variables and for each I need corresponding mxAlgebra. I may want to write a function/a loop to generate mxMatrix and mxAlgebra. I've tried a couple of methods, yet none of them worked. The mainly problem is that in the expression of mxAlgebra, I need call the name of corresponding mxMatrix. Thank you in advance!
amr438
Joined: 03/09/2016
Converting ClassicMx script to OpenMx
Hello,
I am currently trying to recreate ClassicMx script for an ECOT model into OpenMx and I am coming across an error that I am not sure how to solve.
When I run the model I get the following error:
Error: The following error occurred while evaluating the subexpression 'solve(ecot.matF %*% solve(ecot.matI - ecot.matA) %*% ecot.matM %*% ecot.matU)' during the evaluation of 'MZtoss.expMeanMZtoss' in model 'modelECOT' : 'a' (4 x 1) must be square
I have attached the ClassicMX code and OpenMx code.
- Read more about Converting ClassicMx script to OpenMx
- 1 comment
- Log in or register to post comments
jkarch
Joined: 03/15/2011
I fail to install OpenMx from source on MacOs 10.12.6
The short story is that R seems to ignore my intention to use the gcc* compilers.
This is what I do (following https://openmx.ssri.psu.edu/wiki/howto-build-openmx-source-repository):
jkarch
Joined: 03/15/2011
Performance issues many algebras
Hey,
I am currently implementing a new model specification language for longitudinal panel models. As "backend", I use OpenMx. Everything works but it is painfully slow.
- Read more about Performance issues many algebras
- 21 comments
- Log in or register to post comments
paulT
Joined: 11/03/2017
Empirical Underidentification with a bifactor type model
First post by new user: Can anyone give some advice on an empirical under-identification issue please? I am trying to fit the following model:
resVars <- mxPath( from=mylabels, arrows=2,
free=TRUE, values=rep(1,12),
labelatVars <- mxPath( from=c("X1","X2"), arrows=2, connect="unique.pairs",
free=c(TRUE,FALSE,TRUE), values=c(1,0,1), labels=c("varX1","cov","varX2") )