lavaan: An R package for structural equation modeling. Fit a variety of latent variable models, including confirmatory factor analysis, structural equation modeling and latent growth curve models.

References in zbMATH (referenced in 71 articles , 1 standard article )

Showing results 1 to 20 of 71.
Sorted by year (citations)

1 2 3 4 next

  1. Andreas Alfons, Nüfer Y. Ateş, Patrick J. F. Groenen: Robust Mediation Analysis: The R Package robmed (2022) arXiv
  2. Papastamoulis, Panagiotis; Ntzoufras, Ioannis: On the identifiability of Bayesian factor analytic models (2022)
  3. Burghgraeve, Elissa; De Neve, Jan; Rosseel, Yves: Estimating structural equation models using James-Stein type shrinkage estimators (2021)
  4. Fernando Palluzzi, Mario Grassi: SEMgraph: An R Package for Causal Network Analysis of High-Throughput Data with Structural Equation Models (2021) arXiv
  5. Jin, Shaobo; Yang-Wallentin, Fan; Bollen, Kenneth A.: A unified model-implied instrumental variable approach for structural equation modeling with mixed variables (2021)
  6. Merkle, E. C., Fitzsimmons, E., Uanhoro, J., Goodrich, B. : Efficient Bayesian Structural Equation Modeling in Stan (2021) not zbMATH
  7. Paul-Christian Burkner: Bayesian Item Response Modeling in R with brms and Stan (2021) not zbMATH
  8. Rockwood, Nicholas J.: Efficient likelihood estimation of generalized structural equation models with a mix of normal and nonnormal responses (2021)
  9. Schalet, Benjamin D.; Lim, Sangdon; Cella, David; Choi, Seung W.: Linking scores with patient-reported health outcome instruments: a validation study and comparison of three linking methods (2021)
  10. Wollschläger, Daniel: R compact. The fast introduction into data analysis (2021)
  11. Ye, Ai; Gates, Kathleen M.; Henry, Teague Rhine; Luo, Lan: Path and directionality discovery in individual dynamic models: a regularized unified structural equation modeling approach for hybrid vector autoregression (2021)
  12. Boudt, Kris; Cornilly, Dries; Verdonck, Tim: Nearest comoment estimation with unobserved factors (2020)
  13. Calcagnì, Antonio; Lombardi, Luigi; Avanzi, Lorenzo; Pascali, Eduardo: Multiple mediation analysis for interval-valued data (2020)
  14. Fisher, Zachary F.; Bollen, Kenneth A.: An instrumental variable estimator for mixed indicators: analytic derivatives and alternative parameterizations (2020)
  15. Grønneberg, Steffen; Moss, Jonas; Foldnes, Njål: Partial identification of latent correlations with binary data (2020)
  16. Jorgensen, Terrence D.; Jak, Suzanne: Book review of: K. Gana and G. Broc, Structural equation modeling with lavaan (2020)
  17. Markus D. Steiner; Silvia Grieder: EFAtools: An R package with fast and exible implementations of exploratory factor analysis tools (2020) not zbMATH
  18. Nestler, Steffen; Lüdtke, Oliver; Robitzsch, Alexander: Maximum likelihood estimation of a social relations structural equation model (2020)
  19. Panagiotis Papastamoulis, Ioannis Ntzoufras: On the identifiability of Bayesian factor analytic models (2020) arXiv
  20. Po-Hsien Huang: lslx: Semi-Confirmatory Structural Equation Modeling via Penalized Likelihood (2020) not zbMATH

1 2 3 4 next