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Authors
John Kitchener Sakaluk (0000-0002-2515-9822), Omar J. Camanto (0009-0009-4012-9777)
Citation
Sakaluk et al., (2026). dySEM: An <em>R</em> Package for Dyadic Structural Equation Modeling with Latent Variables. Journal of Open Source Software, 11(121), 10115, https://doi.org/10.21105/joss.10115
@article{Sakaluk2026,
doi = {10.21105/joss.10115},
url = {https://doi.org/10.21105/joss.10115},
year = {2026},
publisher = {The Open Journal},
volume = {11},
number = {121},
pages = {10115},
author = {Sakaluk, John Kitchener and Camanto, Omar J.},
title = {dySEM: An <em>R</em> Package for Dyadic Structural Equation Modeling with Latent Variables},
journal = {Journal of Open Source Software}
}
Tags
Structural equation modeling psychometrics dyadic data
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