Copyright © 2007-2024 The OpenMx Project
The newest release of OpenMx, version 2.6.7, is now available through CRAN [1] and through our own repository [2].
The most important change for users to be aware of is that, whereas previously OpenMx defaulted to using one less than the number of cores, it now defaults to using 2 threads. This change was made at the insistence of the CRAN Team to reduce their test-server burden. However, the number of threads can be changed via mxOption [3], with the Number of Threads
option. As a reminder, multithreading in OpenMx is only supported with Linux and with the OpenMx Team's build for Mac OS X [2].
New features and bug-fixes include:
rowwiseParallel=FALSE
to mxFitFunctionML()
[6]. By default, in an analysis of raw data, mxFitFunctionML()
parallelizes evaluation of the row likelihoods, and not the evaluation of the gradient elements."Yes"
) to make OpenMx provide diagnostic messages about the use of multiple threads.mxRestore()
[7] now behaves correctly with argument strict=TRUE
.dnbinom()
, pnbinom()
, dpois()
, and ppois()
(from the stats
package) are now usable in MxAlgebra [8]s.Links
[1] https://cran.r-project.org/web/packages/OpenMx
[2] https://openmx.ssri.psu.edu/installing-openmx
[3] https://openmx.ssri.psu.edu/docs/OpenMx/latest/_static/Rdoc/mxOption.html
[4] https://openmx.ssri.psu.edu/docs/OpenMx/latest/_static/Rdoc/MxCI-class.html
[5] https://openmx.ssri.psu.edu/docs/OpenMx/latest/_static/Rdoc/mxFitFunctionGREML.html
[6] https://openmx.ssri.psu.edu/docs/OpenMx/latest/_static/Rdoc/mxFitFunctionML.html
[7] https://openmx.ssri.psu.edu/docs/OpenMx/latest/_static/Rdoc/mxRestore.html
[8] https://openmx.ssri.psu.edu/docs/OpenMx/latest/_static/Rdoc/mxAlgebra.html