OpenMx 2.0: Extended Structural Equation and Statistical Modeling
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...
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| Veröffentlicht in: | Psychometrika 2016-06, Vol.81 (2), p.535-549 |
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| container_issue | 2 |
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| container_title | Psychometrika |
| container_volume | 81 |
| creator | Neale, Michael C. Hunter, Michael D. Pritikin, Joshua N. Zahery, Mahsa Brick, Timothy R. Kirkpatrick, Robert M. Estabrook, Ryne Bates, Timothy C. Maes, Hermine H. Boker, Steven M. |
| description | 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. |
| doi_str_mv | 10.1007/s11336-014-9435-8 |
| format | Article |
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| ispartof | Psychometrika, 2016-06, Vol.81 (2), p.535-549 |
| issn | 0033-3123 1860-0980 |
| language | eng |
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| source | MEDLINE; Education Source; Springer Nature - Complete Springer Journals |
| subjects | Assessment Behavioral Science and Psychology Data Analysis Discriminant analysis Factor Analysis Factor Analysis, Statistical Humanities Humans Law Maximum Likelihood Statistics Models, Statistical Operating systems Optimization Psychology Psychometrics Software Statistical Theory and Methods Statistics as Topic Statistics for Social Sciences Structural equation modeling Structural Equation Models Testing and Evaluation |
| title | OpenMx 2.0: Extended Structural Equation and Statistical Modeling |
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