umx: Twin and Path-based Structural Equation Modeling in R
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Abstract
Structural equation modeling (SEM) is an important research tool, both for path-based model specification, common in the social sciences, and also matrix-based models in heavy use in behavior genetics. We developed umx to give more immediate access, concise syntax and helpful defaults for users in these two broad disciplines. umx supports development, modification, and comparison of models, as well as both graphical and tabular output. The second major focus of umx, behavior genetic models, is supported via functions implementing standard multi-group twin models. These functions support raw and covariance data, including joint ordinal data, and give solutions for ACE models including support for covariates, common- and independent-Pathway models, and Gene × Environment interaction models. A tutorial site and question forum are also available.
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2017. umx: Twin and Path-based Structural Equation Modeling in R. PeerJ Preprints 5:e3354v1 https://doi.org/10.7287/peerj.preprints.3354v1Author comment
This is a preprint submission to PeerJ Preprints. The paper covers SEM modeling, and is under-review at Journal of Statistical Software (Sept 2017).
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Competing Interests
The authors declare that they have no competing interests.
Author Contributions
Timothy C Bates conceived and designed the experiments, analyzed the data, contributed reagents/materials/analysis tools, wrote the paper, prepared figures and/or tables, reviewed drafts of the paper.
Hermine H Maes contributed reagents/materials/analysis tools, wrote the paper, reviewed drafts of the paper.
Michael C Neale contributed reagents/materials/analysis tools, wrote the paper, reviewed drafts of the paper.
Data Deposition
The following information was supplied regarding data availability:
Funding
The authors received no funding for this work.
