umx: Twin and Path-Based Structural Equation Modeling in R

Timothy C. Bates; Hermine Maes; Michael C. Neale

doi:10.1017/thg.2019.2

journal article Open Access Feb 01, 2019

umx: Twin and Path-Based Structural Equation Modeling in R

Timothy C. Bates Hermine Maes Michael C. Neale

Twin Research and Human Genetics Vol. 22 No. 1 pp. 27-41 · Cambridge University Press (CUP)

View at Publisher Save 10.1017/thg.2019.2

Abstract

AbstractStructural equation modeling (SEM) is an important research tool, both for path-based model specification (common in the social sciences) and also for matrix-based models (in heavy use in behavior genetics). We developed umx to give more immediate access, relatively 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 outputs. The second major focus of umx, behavior genetic models, is supported via functions implementing standard multigroup 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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References

Details

Published: Feb 01, 2019
Vol/Issue: 22(1)
Pages: 27-41
License: View

Authors

Cite This Article

Timothy C. Bates, Hermine Maes, Michael C. Neale (2019). umx: Twin and Path-Based Structural Equation Modeling in R. Twin Research and Human Genetics, 22(1), 27-41. https://doi.org/10.1017/thg.2019.2

umx: Twin and Path-Based Structural Equation Modeling in R

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