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OpenMx website to be down for maintenance on Friday, 11/4, and possibly Saturday, 11/5

The server for openmx.psyc.virginia.edu will be down for maintenance on Friday, November 4th, and possibly for Saturday, November 5th, as well.

Version 2.6.7 of OpenMx now available

The newest release of OpenMx, version 2.6.7, is now available through CRAN and through our own repository.

Version 2.5.2 of OpenMx now available

The newest release of OpenMx, version 2.5.2, is now available through CRAN and through our own repository.

New features include:

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  • Regression factor-score estimates are now available for RAM path models via mxFactorScores().
  • Version 2.3.1 of OpenMx now available

    The newest release of OpenMx, version 2.3.1, is now available through CRAN and through our own repository.

    Version 2.3.1 introduces several new features:

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  • When invoked, mxRun() now displays the number of free parameters in the MxModel before calling the compiled "backend."
  • OpenMx now checks whether the Hessian matrix is convex at the solution, and if it is not, throws a warning (status code 5).
  • Advanced Genetic Epidemiology Statistical Workshop: October 26-30 2015, in Richmond, VA

    We are pleased to announce the NIDA and OBSSR funded 'Advanced Genetic Epidemiology Statistical Workshop: Applications to Drug Abuse' was held October 26-30 2015 in Richmond, Virginia.

    New features in OpenMx v2.2

    New Features Since 2.0.1

    OpenMx has a number of new features available in version 2.2.x.

    Perhaps most significantly, we have a new optimizer: SLSQP - An open source BFGS optimizer from the NLOPT collection. Our experience is that SLSQP performs similarly to NPSOL on unconstrained problems and outperforms it on some constrained problems. SLSQP is our new default optimizer.

    Concerning the Currently Available Versions of OpenMx

    We, the OpenMx Development Team, have heard from several of our users who have expressed confusion about which OpenMx version is the current stable release. As of 8 Jun 2014, it is version 2.2.4. We are using this announcement to resolve the confusion, explain the current situation, provide guidance for our users, and -- perhaps most importantly -- to apologize for any confusion or inconvenience we may have caused.

    Version 2.0.1 now available

    Version 2.0.1 of OpenMx has been released. As usual, it can be downloaded by entering source('http://openmx.psyc.virginia.edu/getOpenMx.R') into the R prompt. This patch provides several bug-fixes and small improvements:

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  • Improved functionality of mxRefModels().
  • Confidence intervals can again be run with multithreading.
  • omxGetParameters() will now omit duplicated parameters, even when there are no submodels.
  • OpenMx version 2.0 is officially released!

    We are very pleased to announce that version 2.0 of OpenMx has been officially released! Users can download and install this new version by copy-pasting source('http://openmx.psyc.virginia.edu/getOpenMx.R') into the R command line and pressing 'Return'. Users who still wish to download and install version 1.4, the previous stable version of the package, can instead use source('http://openmx.psyc.virginia.edu/getOpenMx1.R').

    A number of exciting new features are now available in OpenMx v2.0:

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    Third OpenMx 2.0 beta is released

    The third beta of OpenMx version 2.0 is now publicly available! Interested users can download and install this new version by copy-pasting source('http://openmx.psyc.virginia.edu/getOpenMxBeta.R') into the R command line and pressing 'Return'. Documentation for the beta is available here.

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