OpenMx 2.0: Extended Structural Equation and Statistical Modeling.
OpenMx 2.0: Extended Structural Equation and Statistical Modeling.
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DOI：
10.1007/s11336-014-9435-8
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发表时间：
2016-06
期刊：
影响因子：
3
通讯作者：
Boker SM
中科院分区：
文献类型：
--
作者：
Neale MC;Hunter MD;Pritikin JN;Zahery M;Brick TR;Kirkpatrick RM;Estabrook R;Bates TC;Maes HH;Boker SM
介绍了用于结构方程和其他统计建模的新软件包OpenMx 2.0，并描述了它的特点。OpenMx正朝着模块化方向发展，现在允许混合匹配的计算方法，将模型期望与拟合函数和优化器分离开来。主要的后端架构改进包括转向可交换的开源优化器，比如新编写的CSOLNP。诸如项目因素分析（IRT）和状态空间建模等全新的方法已经实现。新的模型期望函数包括支持用LISREL语法表达模型和简化的多组期望函数。易用性的改进包括帮助函数，用于标准化模型参数和计算基于jacobian的标准误差，通过标准R $机制访问模型组件，以及在R图形用户界面中改进选项卡完成。
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 (IRT) 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.