AdminRobK's picture

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.

AdminRobK's picture

Second OpenMx 2.0 beta is released

The second 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.

AdminRobK's picture

First OpenMx 2.0 beta is released

We are pleased to announce that the first 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'. The OpenMx User Guide for the beta is attached to this announcement.

This initial beta release has a number of exciting new features, which include the following:

AdminRobK's picture

OpenMx 1.4 now available for R 3.0

We are pleased to announce that OpenMx 1.4 is now available. This version runs under R 3.0 (!) and under windows 64.
As always, you can install OpenMx by copying the command  source('http://openmx.psyc.virginia.edu/getOpenMx.R') into an R session. Please let us know if you encounter any problems installing or running the package.

mspiegel's picture

OpenMx 1.3.2 is released

This version of OpenMx fixes a number of small bugs:

  • detect non-conformable arrays for elementwise division in the front-end
  • fix crash in Hessian calculation when no objective function is specified
  • throw an error if standard errors are enabled and Hessian calculation is disabled
  • bug fix in multiple-iteration upper confidence interval estimation
  • support for 32-bit and 64-bit gcc4.7 on linux
Ryne's picture

New Feature in trunk: mxExpect and mxFit functions

OpenMx has a new feature for beta testing available in the trunk for users who build OpenMx from source. This feature is not included in the current (1.3.1) binary release, but will be available in an upcoming beta release.

rgore's picture

OpenMx 1.3.1 is released

The latest version of OpenMx 1.3 is available for download. OpenMx 1.3.1 contains a bug fix described below. For more information on OpenMx 1.3 features, see here. Use the installation command in an R terminal source('http://openmx.psyc.virginia.edu/getOpenMx.R').

Release 1.3.1-2179 (October 17, 2012)

  • bug fix in mxRun() where a model with grandchildren submodels can have its internal state corrupted.
mspiegel's picture

OpenMx 1.3.0 is released

We are pleased to announce the next major release of the OpenMx library. Use the installation command in an R terminal source('http://openmx.psyc.virginia.edu/getOpenMx.R'). There have been several minor enhancements to the OpenMx library interface (all changes are backwards compatible) and several performance improvements. We have implemented a dependency tracking system in the OpenMx backend. If an algebra is independent of all the definition variables in a FIML calculation, then the algebra is computed once per FIML iteration.

rgore's picture

OpenMx 1.2.5 is released

The latest version of OpenMx 1.2 is available for download. OpenMx 1.2.5 contains several fixes which are described below. For more information on the general features within the OpenMx 1.2 series, see here. Use the installation command in an R terminal source('http://openmx.psyc.virginia.edu/getOpenMx.R') to install OpenMx 1.2.5.

Release 1.2.5-2156 (September 5, 2012)
=====================================
* bugfix to omxRAMtoML() when input model has covariance data
* fixing memory leak in cleaning up algebras when optimization is complete

mspiegel's picture

Onyx 0.9 released

The Onyx team is happy to announce the release of Onyx, a Structural Equation Modeling
(SEM) Graphical User Interface designed to set up and fit SEMs intuitively
and fast, ease the introduction of Structural Equation Models for beginners,
and simplify the transistion to more complex SEM scripting languages. Onyx
is developed in cooperation of the Mathematical Psychology Lab at UVa and
the Formal Methods Project at the Max Planck Institute for Human
Development.

Onyx provides import from and export to OpenMx, a free SEM package for R.

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