OpenMx Help

Product of Variables Identification
Hey,
my aim is to use product of variables to fit a random-intercept random-slope model with latent mean centering. To be precise, my model is as follows. $i$ indexes person, $t$ indexes observations within a person.
$$Y_{it} = \beta_i (X_{it}-meanX_i) + meanY_i + residualY_{ij}$$
$$X_{it} = meanX_i + residualX_{ij} $$
$$\beta_i \sim N(\mu_\beta, \sigma_\beta^2), \quad meanX_i \sim N(\mu_X, \sigma_X^2), \quad meanY_i \sim N(\mu_Y, \sigma_Y^2)$$
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Sampling weights for mxFitFunctionMultigroup()
Hi all,
I was wondering if there is a way to specify sampling weights in a multi-group model? I want all observations in a certain group to be weighed equally, but groups with a larger weight should have more influence on the estimation of parameters that are shared/equal between groups.
Best,
Manuel

installation problem of OpenMX3.9 and patch3.9.9 in Ubuntu 22.04
Hi,
I am trying to install the openMX3.9 + patch3.9.9 in my Ubuntu machine (22.04)
I got an error as below:
mpif90 -O3 -fopenmp -I./elpa-2018.05.001 -c elpa1.f90
/opt/intel/oneapi/mpi/2021.3.0/bin/mpif90: 729: [: Illegal number:
elpa1.f90:3345:62:
3345 | 2*n-1, 2*na, nblk, 2*nblk)
| 1
Error: Type mismatch in argument 'vmat_s' at (1); passed COMPLEX(8) to REAL(8)
elpa1.f90:3345:62:

NA CIs for Bivariate Model
Hi, I am trying to run a bivariate model with two variables and 2 covariates. However, I get NA !!! for BivA, BivC and BivE. Can you help me solve this issue?
Here is the script:
### SELECT VARIABLES HERE
data_file <- "Cerebellum_volumes.csv"
variable_input1 <- "lsas_total"
variable_input2 <- "Vermis_VII"
cov1 <- "Total_Cerebel_Vol"
cov2 <- "age"
### Import data
dat <- read.csv(file=data_file, header=TRUE, sep = ";")
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Seek copy of MX varimax rotation code posted years ago at VA Tech web site
Hi to Administrators Neale,
Several years back we posted a varimax - quartimax script that worked well under an earlier implementation of MX.
1) Can you direct me to a site so I can retrieve this script and its documentation?
2) Would like to revise the script so it will run under R (Win 11) in the latest MX configuration. Could we get permission to get help from Neale and other administrators to guide us in making revisions to get the script to work in 2024?
Thank you for your advice and direction, best, Paul Hoon

installation fails for openMX -> index not found
OS -> Ubuntu 22.04.3 LTS
R version 4.1.2 (2021-11-01)
error message:
Warning: unable to access index for repository https://vipbg.vcu.edu/vipbg/OpenMx2/software/src/contrib:
cannot open URL 'https://vipbg.vcu.edu/vipbg/OpenMx2/software/src/contrib/PACKAGES'
Warning message:
package ‘OpenMx’ is not available for this version of R
pasting https://vipbg.vcu.edu/vipbg/OpenMx2/software/src/contrib:
into a browser returns Page not found
a very similar error I found in the forum by Ling Ahu

checking total h2 at time 2 in a longitudinal choelsky model with paths script
Hello,
I am conducting a longitudinal Cholesky model with one variable in two time points.
I use the script written below with paths.
How can I modify this script to find for the total h2 at time 2? that is, I want to find the heritability explained by both the genetic effect from time 1 and the genetic effect from time 2, and the confidence interval of this estimate.
Thank you very much for your help

Can't solve dimname associated error
Hello. I am quite naive with OpenMx & R in general, and I can't find a way to solve this error. I'm trying to create a covariance matrix with my data.. I am aware that my code is probably very messy and has lots of other errors-I really need some help & advice on how to advance with this. Thank you so much in advance. This is my code:
pheno2 <- read.csv("pheno2.csv")
library(OpenMx)
colnames(pheno2) <- gsub("\\.", "_", colnames(pheno2))
any(is.na(pheno2))
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Can´t get the fit indices for DoC model, as Saturated DZ gets non pos def
I am unable to figure out how to fix this. Check out this error:

Can't derive CIs in multiple groups twin model. Too nested!
Initially found this using umx (https://github.com/tbates/umx/issues/226), thought this was specific to that package. But now I can reproduce it in OpenMx. See MWE below.
**Summary**: if I try go get cis for parameters in multiple groups twin models (written in matrix algebra only), open mx complains about it being too nested. Multiple groups here refers to running the model for males and females, for example. See MWE.
**Error**:
Pagination
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