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Supplementary materials [code] to: Incorporating machine learning into factor mixture modeling: Identification of covariate interactions to explain population heterogeneity

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PsychArchives2023-09-27 更新2026-04-25 收录
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https://hdl.handle.net/20.500.12034/8758
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资源简介:
Supplementary materials [code] to: Wang, Y., Xu, T., & Shen, J. (2023). Incorporating machine learning into factor mixture modeling: Identification of covariate interactions to explain population heterogeneity. Methodology, 19(3). https://doi.org/10.5964/meth.9487 The supplementary materials provided are the annotated codes for unconditional FMM analyses, annotated codes for SEM Trees, and the annotated codes for the three-step approach to estimate covariate and covariate interaction effect on latent class membership. unknown unknown
提供机构:
PsychOpen GOLD
创建时间:
2023-09-27
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