...Existing scripts have recently been updated to reflect current recommended best practices in doing mxGREML analyses, which are described in the README file. (n+2)/n
June 6, 2025 at 8:34 PM
...Existing scripts have recently been updated to reflect current recommended best practices in doing mxGREML analyses, which are described in the README file. (n+2)/n
Here is a git repository of R scripts that demonstrate the use of OpenMx's GREML feature: github.com/RMKirkpatric... . It already has some scripts that demonstrate the new GREML capabilities in this OpenMx release, and more such scripts will be coming soon... (n+1)/n
GitHub - RMKirkpatrick/mxGREMLdemos
Contribute to RMKirkpatrick/mxGREMLdemos development by creating an account on GitHub.
github.com
June 6, 2025 at 8:33 PM
Here is a git repository of R scripts that demonstrate the use of OpenMx's GREML feature: github.com/RMKirkpatric... . It already has some scripts that demonstrate the new GREML capabilities in this OpenMx release, and more such scripts will be coming soon... (n+1)/n
Again, read the full announcement of new features, bug-fixes, known issues, GREML-related details, and NPSOL availability here: openmx.ssri.psu.edu/node/4942 n/n
OpenMx 2.22 released! | OpenMx
openmx.ssri.psu.edu
June 6, 2025 at 8:12 PM
Again, read the full announcement of new features, bug-fixes, known issues, GREML-related details, and NPSOL availability here: openmx.ssri.psu.edu/node/4942 n/n
The big non-GREML news is that OpenMx can now automatically compute analytic first & second derivatives of the ML fitfunction for some RAM models. We recommend enabling these derivatives for models that have a large number of manifest variables and free parameters. 6/n
June 6, 2025 at 8:12 PM
The big non-GREML news is that OpenMx can now automatically compute analytic first & second derivatives of the ML fitfunction for some RAM models. We recommend enabling these derivatives for models that have a large number of manifest variables and free parameters. 6/n
Other GREML news includes partial support for use of `mxCheckIdentification()` and `mxAutoStart()` with a GREML expectation; see under "Known Issues" for details. 5/n
June 6, 2025 at 8:11 PM
Other GREML news includes partial support for use of `mxCheckIdentification()` and `mxAutoStart()` with a GREML expectation; see under "Known Issues" for details. 5/n
Thus, the following are now possible in an mxGREML model: regressions ("one-headed paths") or nonrecursive paths ("feedback loops") between endogenous phenotypes; accommodating heteroskedasticity; regressing out covariates via a nonlinear or non-identity-link function! 4/n
June 6, 2025 at 8:11 PM
Thus, the following are now possible in an mxGREML model: regressions ("one-headed paths") or nonrecursive paths ("feedback loops") between endogenous phenotypes; accommodating heteroskedasticity; regressing out covariates via a nonlinear or non-identity-link function! 4/n
...you can model the mean "explicitly", by naming an arbitrary vector-valued MxMatrix or MxAlgebra to be the phenotypic mean vector (similar to the MxExpectationNormal case)! 3/n
June 6, 2025 at 8:11 PM
...you can model the mean "explicitly", by naming an arbitrary vector-valued MxMatrix or MxAlgebra to be the phenotypic mean vector (similar to the MxExpectationNormal case)! 3/n
First, you don't have to use REML to fit a "GREML" model anymore--you can fit it by ordinary ML instead, with argument `REML=FALSE`! Second, if you're using ordinary ML, instead of modeling the phenotypic mean "implicitly" by naming exogenous covariates... 2/n
June 6, 2025 at 8:11 PM
First, you don't have to use REML to fit a "GREML" model anymore--you can fit it by ordinary ML instead, with argument `REML=FALSE`! Second, if you're using ordinary ML, instead of modeling the phenotypic mean "implicitly" by naming exogenous covariates... 2/n
Again, read the full announcement of new features, bug-fixes, and known issues here: openmx.ssri.psu.edu/node/4933 5/5
OpenMx 2.21.13 released! | OpenMx
We are pleased to announce the official release of OpenMx version 2.21.13. The last version of OpenMx for which we published an official release announcement was version 2.20.6, in February of 2022. Since then, we have quietly released versions 2.20.7, 2.21.1, 2.21.8, 2.21.10, 2.21.11, and 2.21.12, usually at the request of CRAN.
openmx.ssri.psu.edu
December 10, 2024 at 1:56 AM
Again, read the full announcement of new features, bug-fixes, and known issues here: openmx.ssri.psu.edu/node/4933 5/5
I think the most exciting new feature is that `mxCheckIdentification()` is now compatible with definition variables! 4/5
December 10, 2024 at 1:56 AM
I think the most exciting new feature is that `mxCheckIdentification()` is now compatible with definition variables! 4/5
Of course, non-NPSOL builds of the new version, including for macOS, are available the usual way from CRAN. 3/5
December 10, 2024 at 1:55 AM
Of course, non-NPSOL builds of the new version, including for macOS, are available the usual way from CRAN. 3/5
As usual, we provide our own NPSOL-enabled builds of the new version for x86_64 Windows and x86_64 Linux/GNU. However, our own builds for macOS are not yet available, and v2.21.8 was the last version to support 32-bit (x86) Windows. 2/5
December 10, 2024 at 1:54 AM
As usual, we provide our own NPSOL-enabled builds of the new version for x86_64 Windows and x86_64 Linux/GNU. However, our own builds for macOS are not yet available, and v2.21.8 was the last version to support 32-bit (x86) Windows. 2/5