an R package for structural equation modeling and more
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Updated
Sep 9, 2024 - R
an R package for structural equation modeling and more
Repository for the OpenMx Structural Equation Modeling package
An R package for Bayesian structural equation modeling
◽ <- ⚪ Structural Equation Modeling from a broader context.
Making Structural Equation Modeling (SEM) in R quick & powerful
🎓 Tidy tools for academics
Recursive Partitioning for Structural Equation Models
Convenience Functions for Package `lavaan`
🎓 Tidy SEM tools for academics
An R package for Bayesian structural equation models that account for the influence of minor factors
lavacreg (Latent Variable Count Regression Models)) is an R package to estimate multigroup structural equation models with count regressions (Poisson or negative binomial).
Generates R code for your lavaan models automatically, which helps with reproducible open science
lessSEM estimates sparse structural equation models.
An R data package for the book "Applied longitudinal data analysis: Modeling change and event occurrence" by Singer and Willett (2003).
Time Series And Econometric Modeling In R
Power Analysis for SEM models in R
Fix the problem of structural equation model in statistical learning perspectives
Moderation, mediation, and moderated mediation in structural equation modeling and multiple regression
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