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OpenMx 2.0: Extended Structural Equation and Statistical Modeling |
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| Authors: | Michael C Neale Michael D Hunter Joshua N Pritikin Mahsa Zahery Timothy R Brick Robert M Kirkpatrick Ryne Estabrook Timothy C Bates Hermine H Maes Steven M Boker |
| Institution: | 1.Virginia Institute for Psychiatric and Behavioral Genetics,Virginia Commonwealth University,Richmond,USA;2.Department of Psychology,University of Oklahoma,Norman,USA;3.Department of Psychology,University of Virginia,Charlottesville,USA;4.Department of Computer Science,Virginia Commonwealth University,Richmond,USA;5.Department of Human Development and Family Studies,Pennsylvania State University,State College,USA;6.Department of Medical Social Sciences,Northwestern University,Evanston,USA;7.Department of Psychology,University of Edinburgh,Edinburgh,USA |
| Abstract: | The new software package OpenMx 2.0 for structural equation and other statistical modeling is introduced and its features are described. OpenMx is evolving in a modular direction and now allows a mix-and-match computational approach that separates model expectations from fit functions and optimizers. Major backend architectural improvements include a move to swappable open-source optimizers such as the newly written CSOLNP. Entire new methodologies such as item factor analysis and state space modeling have been implemented. New model expectation functions including support for the expression of models in LISREL syntax and a simplified multigroup expectation function are available. Ease-of-use improvements include helper functions to standardize model parameters and compute their Jacobian-based standard errors, access to model components through standard R $ mechanisms, and improved tab completion from within the R Graphical User Interface. |
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