OpenMx: Extended Structural Equation Modelling
Version 2.7.17

Facilitates treatment of statistical model specifications as things that can be generated and manipulated programmatically. Structural equation models may be specified with reticular action model matrices or paths, linear structural relations matrices or paths, or directly in matrix algebra. Fit functions include full information maximum likelihood, maximum likelihood, and weighted least squares. Example models include confirmatory factor, multiple group, mixture distribution, categorical threshold, modern test theory, differential equations, state space, and many others.

Getting started

Package details

AuthorSteven M. Boker [aut], Michael C. Neale [aut], Hermine H. Maes [aut], Michael J. Wilde [ctb], Michael Spiegel [aut], Timothy R. Brick [aut], Ryne Estabrook [aut], Timothy C. Bates [aut], Paras Mehta [ctb], Timo von Oertzen [ctb], Ross J. Gore [aut], Michael D. Hunter [aut], Daniel C. Hackett [ctb], Julian Karch [ctb], Andreas M. Brandmaier [ctb], Joshua N. Pritikin [aut, cre], Mahsa Zahery [aut], Robert M. Kirkpatrick [aut], Yang Wang [ctb], Charles Driver [ctb], Massachusetts Institute of Technology [cph], S. G. Johnson [cph], Association for Computing Machinery [cph], Dieter Kraft [cph], Stefan Wilhelm [cph], Manjunath B G [cph]
Date of publication2017-09-08 14:58:01 UTC
MaintainerJoshua N. Pritikin <[email protected]>
LicenseApache License (== 2.0)
Version2.7.17
URL http://openmx.ssri.psu.edu https://github.com/OpenMx/OpenMx
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("OpenMx")

Try the OpenMx package in your browser

Any scripts or data that you put into this service are public.

OpenMx documentation built on Sept. 8, 2017, 5:06 p.m.