OpenMx pre-release r1609

We are pleased to announce the second release in our OpenMx pre-release series. As we develop new features for OpenMx, we will periodically make pre-releases available that contain the new functionality. The latest pre-release can be downloaded using the following installation url. You will notice that the pre-releases will always have the version number 999. You can find the true version number by looking at the last four digits of mxVersion() after the "999.0.0-".

These pre-releases are a work in progress. We always recommend verifying the output using the latest stable version of OpenMx whenever possible.

There are a lot of changes in this release from the last prerelease, we are also nearing the feature freeze for OpenMx 1.1.0. These changes are:

• added argument 'threshnames' to mxFIMLObjective()
• eliminated "initialize" method for MxMatrix objects
• added "omxCreateMatrix" method for MxMatrix objects
• renaming majority of omx* functions to imx* functions. See https://openmx.ssri.psu.edu/thread/761
• added error checking to mxOption() function
• added "Optimality tolerance" to mxOption() selection
• added 'lbound' and 'ubound' columns to summary() output of free parameters
• added asterisks to the 'lbound' and 'ubound' columns when feasibility tolerance is met
• added "omxNot" function to the set of available mxAlgebra() function
• added "omxSelectRows", "omxSelectCols", and "omxSelectRowsAndCols" as mxAlgebra operators()
• updated interface of mxRowObjective
• in ML objective: expected covariance matrix and observed covariance matrix must have identical dimnames
• in RAM and ML objectives: the observed means vector must have column names
• added "mean" function to the set of available mxAlgebra() functions
• added slots "expCov" and "expMean" to the MxRAMObjective function
• added useOptimizer option to mxRun.
• added error checking in frontend and backend for non-positive-definite observed covariance matrices
• added "omxGreaterThan", "omxLessThan", "omxApproxEquals", "omxAnd", and "omxOr" operators to the set of mxAlgebra() operators
• error checking for model[[1]] or model[[TRUE]]
• error checking in the front-end whether more than 20 ordinal columns are present in a data set
• improved performance in the front-end in mxModel() for adding paths to RAM models
• print name of algebra when operator has too few or too many arguments