OpenMx Help
lf-araujo
Joined: 11/25/2020
Announcing umxCLPM() TESTERS NEEDED
Hi all,
All I really want is another single-author paper complaining about cookie-cutter models, so I wrote the ultimate cookie-cutter (\s) for CLPM:
https://github.com/tbates/umx/commit/26a9cf01da4cc789be3fc66ddf16ab40050cf87d
It is hard to find spect details for some of these models on the original papers, so I need testers. In particular, I wonder whether the 'uv' correlation is really equated across in Heise's and in STARTS. I believe it is fixed for Hamaker's.
Enjoy.
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lf-araujo
Joined: 11/25/2020
Adding thresholds to model using umxThresholdMatrix
Hi all,
I am trying to add ordinal variables to the mrdoc model. I can't understand the proper way of setting this up using umxThresholdsMatrix. It seems OpenMx is complaining about the autonaming of the parameters:
Error: The thresholds matrix associated with the expectation function in m
odel 'MZ' contains column names and the expectation function has specified
non-identical threshnames.
Here is the MWE:
library(umx)
library(dplyr)
library(ggplot2)
lf-araujo
Joined: 11/25/2020
Calculating expressions in model
Hi all,
I rewrote mrdoc to shorten the hundreds line model to the version below,
however in this version some paths are mixed in correlations. For example,
abraas is combining ab, ra, and as. I wanted to make it easier to the user
and provide each path separately, but I am not sure how to do this. I tried to use
mxEval, but I think it is beyond my capabilities.
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lf-araujo
Joined: 11/25/2020
Still can't print vignettes (linux)
I remember we discussed this in the past, but I can't remember what was the issue.
In a linux system calling vignettes is not listing available pages. Is this happening to other systems too?
I have here a npsol enabled version in a linux system, see code and output below.
> vignette(package="OpenMx")
no vignettes found
> tools::getVignetteInfo("OpenMx")
Package Dir Topic File Title R PDF
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thughe01
Joined: 10/18/2009
Forum search issue
Hi there. When I try to use the simple or advanced search in the Forums with more than a single word, I get the following error:
Forbidden
You don't have permission to access /search/node/test search on this server.
Not sure what I am doing wrong? Have tried multiple browsers, clearing cache, etc.
Cheers,
Toby.
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pehkawn
Joined: 05/24/2020
Understanding runHelper() error: MxExpectationRAM: latent exogenous variables are not supported
I've been trying to modify [this example](https://github.com/OpenMx/OpenMx/blob/master/inst/models/nightly/mplus-ex9.23.R) from OpenMx' repos for testing. For this purpose, I am trying to fit the model using WLS. However, this returns the following error message:
Error in runHelper(model, frontendStart, intervals, silent, suppressWarnings, :
MxExpectationRAM: latent exogenous variables are not supported (x -> sw)
Ling Zhu
Joined: 05/01/2023
Can't install OpenMx
1. My operating system: macOS Ventura Version 13.2.1
2. R version 4.3.0 (2023-4-21): I just updated my R version. I also used the older R version to install it but failed, so I think maybe update R could work...
3. Error message:
Warning in install.packages :
unable to access index for repository https://openmx.ssri.psu.edu/software/bin/macosx/big-sur-x86_64/contrib/4.3:
cannot open URL 'https://openmx.ssri.psu.edu/software/bin/macosx/big-sur-x86_64/contrib/4.3/PACKAGES'
Warning in install.packages :
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Hasan
Joined: 03/07/2023
Moderated bivariate ACE
Hello,
I'm trying to fit a moderated bivariate ACE model such as the one seen in the attached picture.
Is there a way to do this in umx? As far as I can tell, neither umxGxE nor umxGxEbiv do exactly this. Can they be expanded to fit this particular model?
I've tried to get my head around using OpenMx rather than umx, but with little success :-) But I found this script from the Boulder materials - https://vipbg.vcu.edu/media/course/HGEN619_2015/twin2ModBivAceCon.R, am I correct that this fits the model I'm trying to fit?
Thanks!
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lyra9826
Joined: 10/20/2021
Issues with confidence interval estimation for Cholesky Decomposition ACE model
I am estimating a Cholesky decomposition ACE model and deriving the rA, rC, and rE estimates. The confidence intervals are not estimating for many of these parameters. There appear to be varying diagnoses when I use verbose=T (i.e., active box constraint, alpha level not reached infeasible non-linear constraint). I have tried choosing a different optimizer, re-scaling the phenotypes, using mxTryHard, and changing start values. The univariate variance components as well as their correlations are significant.