翻訳と辞書
Words near each other
・ OpenMG
・ OpenMI Standard
・ OpenMicroBlogging
・ Openmind Projects
・ OpenML
・ Openmoko
・ Openmoko Linux
・ OpenMosix
・ OpenMP
・ OpenMPT
・ OpenMRS
・ OpenMS
・ OpenMSX
・ OpenMusic
・ OpenMusic (disambiguation)
OpenMx
・ OpenNap
・ OpenNebula
・ OpenNebula Systems
・ Openness
・ Openness index
・ Openness to experience
・ OpenNet
・ OpenNet (organization)
・ OpenNet (website)
・ OpenNet Initiative
・ OpenNI
・ OpenNIC
・ OpenNICTA
・ OpenNLP


Dictionary Lists
翻訳と辞書 辞書検索 [ 開発暫定版 ]
スポンサード リンク

OpenMx : ウィキペディア英語版
OpenMx

OpenMx is an open source program for extended structural equation modeling. It runs as a package under R. Cross platform, it runs under Linux, Mac OS and Windows.〔S. Boker, M. Neale, H. Maes, M. Wilde, M. Spiegel, T. Brick, J. Spies, R. Estabrook, S. Kenny, T. Bates, P. Mehta and J. Fox. (2011). OpenMx: An Open Source Extended Structural Equation Modeling Framework. ''Psychometrika'', 76, ()〕
== Overview ==

OpenMx consists of an R library of functions and optimizers supporting the rapid and flexible implementation and estimation of SEM models. Models can be estimated based on either raw data (with FIML modelling) or on correlation or covariance matrices. Models can handle mixtures of continuous and ordinal data. The current version is OpenMx 2, and is available on CRAN.
Path analysis, Confirmatory factor analysis, Latent growth modeling, Mediation analysis are all implemented. Multiple group models are implemented readily. When a model is run, it returns a model, and models can be updated (adding ad removing paths, adding constraints and equalities. Giving parameters the same label equates them). An innovation is that labels can consist of address of other parameters, allowing easy implementation of constrains on parameters by address.
RAM models return standardized and raw estimates, as well as a range of fit indices (AIC, RMSEA, TLI, CFI etc.). Confidence intervals are estimated robustly.
The program has parallel processing built-in via links to parallel environments in R, and in general takes advantage of the R programming environment.
Users can expand the package with functions. These have been used, for instance, to implement Modification indices.
Models can be written in either a "pathic" or "matrix" form. For those who think in terms of path models, paths are specified using mxPath() to describe paths. For models that are better suited to description in terms of matrix algebra, this is done using similar functional extensions in the R environment, for instance mxMatrix and mxAlgebra.
The code below shows how to implement a simple Confirmatory factor analysis in OpenMx, using either path or matrix formats. The model is diagrammed here:

抄文引用元・出典: フリー百科事典『 ウィキペディア(Wikipedia)
ウィキペディアで「OpenMx」の詳細全文を読む



スポンサード リンク
翻訳と辞書 : 翻訳のためのインターネットリソース

Copyright(C) kotoba.ne.jp 1997-2016. All Rights Reserved.