OpenMx: An Open Source Extended Structural Equation Modeling Framework

被引：875

作者：

Boker, Steven ^{[1
]}

Neale, Michael ^{[2
]}

Maes, Hermine ^{[2
]}

Wilde, Michael ^{[3
]}

Spiegel, Michael

Brick, Timothy

Spies, Jeffrey

Estabrook, Ryne

Kenny, Sarah ^{[3
]}

Bates, Timothy ^{[4
]}

Mehta, Paras ^{[5
]}

Fox, John ^{[6
]}

机构：

[1] Univ Virginia, Dept Psychol, Charlottesville, VA 22903 USA

[2] Virginia Commonwealth Univ, Richmond, VA 23284 USA

[3] Univ Chicago, Argonne Natl Labs, Chicago, IL 60637 USA

[4] Univ Edinburgh, Edinburgh EH8 9YL, Midlothian, Scotland

[5] Univ Houston, Houston, TX 77004 USA

[6] McMaster Univ, Hamilton, ON L8S 4L8, Canada

来源：

PSYCHOMETRIKA | 2011年 / 76卷 / 02期

关键词：

structural equation modeling; SEM; software; open source; OpenMx;

D O I：

10.1007/s11336-010-9200-6

中图分类号：

O1 [数学];

学科分类号：

0701 ; 070101 ;

摘要：

OpenMx is free, full-featured, open source, structural equation modeling (SEM) software. OpenMx runs within the R statistical programming environment on Windows, Mac OS-X, and Linux computers. The rationale for developing OpenMx is discussed along with the philosophy behind the user interface. The OpenMx data structures are introduced-these novel structures define the user interface framework and provide new opportunities for model specification. Two short example scripts for the specification and fitting of a confirmatory factor model are next presented. We end with an abbreviated list of modeling applications available in OpenMx 1.0 and a discussion of directions for future development.

引用

页码：306 / 317

页数：12

共 18 条

[1] [Anonymous], 2013, Finite Mixture Distributions
[2] Arbuckle J., 2009, AMOS USERS GUIDE
[3] Bentler P. M., 2009, EQS STRUCTURAL EQUAT
[4] BROWNE MW, 2009, RAMONA SYSTAT WINDOW
[5] Multivariate multipoint linkage analysis of quantitative trait loci
Eaves, LJ
Neale, MC
Maes, H
[J]. BEHAVIOR GENETICS, 1996, 26 (05) : 519 - 525
[6] FOX J., 2009, sem: Structural Equation Models
[7] Ihaka R., 1996, J. Comput. Graph. Stat., V5, P299, DOI [10.2307/1390807, 10.1080/10618600.1996.10474713, DOI 10.1080/10618600.1996.10474713]
[8] SOME CONTRIBUTIONS TO MAXIMUM LIKELIHOOD FACTOR ANALYSIS
JORESKOG, KG
[J]. PSYCHOMETRIKA, 1967, 32 (04) : 443 - &
[9] FACTOR-ANALYSIS FOR CLUSTERED OBSERVATIONS
LONGFORD, NT
MUTHEN, BO
[J]. PSYCHOMETRIKA, 1992, 57 (04) : 581 - 597
[10] MCLACHLAN G, 2000, WILEY SER PROB STAT, P1, DOI 10.1002/0471721182

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