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Applying non-negative matrix factorization with covariates to structural equation modeling for blind input-output analysis
Arxiv
0+阅读 · 12月20日
PLS-SEM-power: A Shiny App and R package for Computing Required Sample Size and Minimum Detectable Effect Size in PLS-SEMs
Arxiv
0+阅读 · 11月18日
Examination of Nonlinear Longitudinal Processes with Latent Variables, Latent Processes, Latent Changes, and Latent Classes in the Structural Equation Modeling Framework: The R package nlpsem
Arxiv
0+阅读 · 11月30日
Aligning MLLM Benchmark With Human Preferences via Structural Equation Modeling
Arxiv
0+阅读 · 11月13日
umx version 4.5: Extending Twin and Path-Based SEM in R with CLPM, MR-DoC, Definition Variables, $Ω$nyx Integration, and Censored distributions
Arxiv
0+阅读 · 12月11日
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