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Version 2.7.10 of OpenMx now available

OpenMx version 2.7.10 is now available through CRAN.

New features, performance improvements, and bug-fixes in OpenMx v2.7.10 include the following:

  • OpenMx is now able to check the first-order optimality conditions for solutions obtained by SLSQP when MxConstraints are involved. Note that SLSQP therefore may now warn about status code 6 in cases where formerly it did not.
  • Expectation-maximization has been made more generic.
  • A new function usable in MxAlgebras, mxRobustLog(), has been implemented. mxRobustLog() returns the natural logarithm of its argument, unless the argument is zero, in which case it returns -745 instead of -Inf (see documentation for details). It is recommended for use with mixture models.
  • Another new function usable in MxAlgebras, mxEvaluateOnGrid(), has been implemented. It is useful for quadrature integration.
  • The way the WLS fitfunction handles MxConstraints has been improved.
  • When using the WLS fitfunction, OpenMx will not attempt to calculate a chi-square statistic when no standard errors are available.
  • omxParallelCI() now respects locally set mxOptions, and no longer unnecessarily redoes the primary optimization (for point estimates).
  • Previously, mxGetExpected() could fail in cases where one MxModel references a component of another MxModel, when both are submodels inside a "container" MxModel. This bug has been repaired.
  • mxGetExpected() now works with GREML expectation.
  • mxGetExpected() can now provide asymptotic ("infinite-time") covariance matrices for state-space expectations.
  • mxSE() now safely handles MxConstraints.
  • The Nelder-Mead optimizer's default method for handling equality MxConstraints is now the newly implemented "GDsearch" method, which uses SLSQP as a subsidiary optimizer.
  • mxTryHard() now works with MxModels that use the Nelder-Mead optimizer.
  • mxCompare() now behaves more sensibly when it is comparing MxModels that have the same degrees-of-freedom.
  • A bug involving mxRefModels() when using WLS with a multigroup MxModel has been repaired.
  • mxAutoStart() now works better with multigroup models.

    Mac users of R v3.4 can download a "bleeding edge" developers' build of OpenMx from here, but note that the bleeding edge build is not a stable package release and is only minimally tested. Furthermore, it does not work on Mac OS X 10.11 "El Capitan."