OpenMx Help
EmilieRH
Joined: 09/24/2020
Bivariate ACE model with moderator
Hi all,
I am currently working on a project on how school achievement moderates intelligence among young adults. My sample consists of 4,084 German twins aged 17 and 23-24, respectively, who have information on both GPA and intelligence. However, the twins' GPAs come from various types of secondary schools so to check whether I need to use school type as a moderator in my GxE analyses, I first want to see what happens if I run separate bivariate variance decomposition analyses for the three school types constraining their parameters equal.
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Soldor880
Joined: 10/14/2020
Applying the univariate ACE model to more than one phenotype at a time
I have 75 metabolites. I am running a univariate ACE model analysis for each one to decompose the phenotypic variation into estimated genetic and environmental contributions.
Is it possible to adjust the code attached to run the model for each of these simultaneously to get the output (h, c and e), or is it only possible to run the model for each metabolite individually?
Thank-you
EmilieRH
Joined: 09/24/2020
Bivariate ACE model with moderator
Hi all,
I am currently working on a project on how school achievement moderates intelligence among young adults. My sample consists of 4,084 German twins aged 17 and 23-24, respectively, who have information on both GPA and intelligence. However, the twins' GPAs come from various types of secondary schools so to check whether I need to use school type as a moderator in my GxE analyses, I first want to see what happens if I run separate bivariate variance decomposition analyses for the three school types constraining their parameters equal.
- Read more about Bivariate ACE model with moderator
- 5 comments
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jpritsker
Joined: 09/27/2020
How does OpenMx handle missing data with WLS?
I might be missing something obvious, but as far as I can tell, this isn't explicated anywhere. How does OpenMx deal with missing data for WLS? Is it listwise/pairwise or is the polychoric covariance matrix computed using FIML?
PCFLaw
Joined: 08/26/2020
2-class growth mixture model: adding time-invariant covariates & viewing class probabilities
Hi,
I am wondering if I can get some help on a 2-class growth mixture model I'm having trouble with (script and example dataset attached). The model describes a single linear trajectory across 8 time-points (t1-t8). I'm new to OpenMx and I've looked through this forum/other sites but I'm at a loss. I'm trying to (i) add 3 time-invariant covariates ('Sex', 'Age', 'pooled_VA') to the 2-class growth mixture model and (ii) view the class probabilities for each case.
Daisy16
Joined: 06/25/2020
Which Linux is more suitable for installing OpenMX?
I want to install OpenMX on Linux, can anyone tell me which Linux is better?
Thanks
ywsky01
Joined: 08/06/2020
Confidence intervals of ACE model fit
Hi all,
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shenjean
Joined: 06/08/2020
Install OpenMx on server (Linux 4.14.35-1902.10.8.el7uek.x86_64 #2 SMP with R=3.5.1)
Hi,
I am having trouble installing OpenMx on a Linux server where I don't have admin rights. Here are my the details:
===============================
OS/Software versions
===============================
OS=Linux 4.14.35-1902.10.8.el7uek.x86_64 #2 SMP
conda environment
R=3.5.1
gcc=7.1.0
libgcc=7.2.0
Veronica_echo
Joined: 02/23/2018
Install OpenMx in AWS Rstudio (R version 3.4.1)
Hi everyone,
I am trying to install OpenMx in AWS Rstudio with R version 3.4.1. I've tried the following ways:
> install.packages("OpenMx")
Installing package into ‘/home/Vero_BLSGMM/R/x86_64-redhat-linux-gnu-library/3.4’
(as ‘lib’ is unspecified)
and
> source('https://openmx.ssri.psu.edu/software/getOpenMx.R')
Neither worked. Any advice or suggestion on this situation? Thanks in advance.
davide
Joined: 03/13/2020
Constraints
Hi Open Mx Folks
I'm trying to construct a model where I need to implement a constraint across groups. My model is of the form:
Mxgroup1 {
matrix A
matrix B
}
Mxgroup2 {
matrix C
matrix D
}
And I want to employ the constraint A + B = C + D
Any ideas how I can do this?
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