sem

R package sem: Structural Equation Models , This package contains functions for fitting general linear structural equation models (with observed and unobserved variables) using the RAM approach, and for fitting structural equations in observed-variable models by two-stage least squares. (Source: http://cran.r-project.org/web/packages)


References in zbMATH (referenced in 28 articles )

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  1. Hyunseung Kang, Yang Jiang, Qingyuan Zhao, Dylan S. Small: ivmodel: An R Package for Inference and Sensitivity Analysis of Instrumental Variables Models with One Endogenous Variable (2020) arXiv
  2. Po-Hsien Huang: lslx: Semi-Confirmatory Structural Equation Modeling via Penalized Likelihood (2020) not zbMATH
  3. Drton, Mathias; Fox, Christopher; Wang, Y. Samuel: Computation of maximum likelihood estimates in cyclic structural equation models (2019)
  4. Sergio Venturini, Mehmet Mehmetoglu: plssem: A Stata Package for Structural Equation Modeling with Partial Least Squares (2019) not zbMATH
  5. Nora Umbach and Katharina Naumann and Holger Brandt and Augustin Kelava: Fitting Nonlinear Structural Equation Models in R with Package nlsem (2017) not zbMATH
  6. Oleg Sofrygin; Mark van der Laan; Romain Neugebauer: simcausal R Package: Conducting Transparent and Reproducible Simulation Studies of Causal Effect Estimation with Complex Longitudinal Data (2017) not zbMATH
  7. Ribes Giner, Gabriela; Peralt Rillo, Agustín: Structural equation modeling of co-creation and its influence on the student’s satisfaction and loyalty towards university (2016)
  8. Daniel Oberski: lavaan.survey: An R Package for Complex Survey Analysis of Structural Equation Models (2014) not zbMATH
  9. Holst, Klaus Kähler; Budtz-Jørgensen, Esben: Linear latent variable models: the lava-package (2013)
  10. Wollschläger, Daniel: R compact. The fast introduction into data analysis (2013)
  11. Zhang, Zhiyong; Wang, Lijuan: Methods for mediation analysis with missing data (2013)
  12. Armin Monecke; Friedrich Leisch: semPLS: Structural Equation Modeling Using Partial Least Squares (2012) not zbMATH
  13. Gove, Robert P.; Chen, William; Zweber, Nicholas B.; Erwin, Rebecca; Rychtář, Jan; Remington, David L.: Effects of causal networks on the structure and stability of resource allocation trait correlations (2012)
  14. Sacha Epskamp; Angélique Cramer; Lourens Waldorp; Verena Schmittmann; Denny Borsboom: qgraph: Network Visualizations of Relationships in Psychometric Data (2012) not zbMATH
  15. Yuan, Ke-Hai; Zhang, Zhiyong: Robust structural equation modeling with missing data and auxiliary variables (2012)
  16. Yves Rosseel: lavaan: An R Package for Structural Equation Modeling (2012) not zbMATH
  17. Bjorn Roelstraete; Yves Rosseel: FIAR: An R Package for Analyzing Functional Integration in the Brain (2011) not zbMATH
  18. Boker, Steven; Neale, Michael; Maes, Hermine; Wilde, Michael; Spiegel, Michael; Brick, Timothy; Spies, Jeffrey; Estabrook, Ryne; Kenny, Sarah; Bates, Timothy; Mehta, Paras; Fox, John: OpenMx: an open source extended structural equation modeling framework (2011)
  19. Everitt, Brian; Hothorn, Torsten: An introduction to applied multivariate analysis with R. (2011)
  20. Patrick Mair; Jan de Leeuw: A General Framework for Multivariate Analysis with Optimal Scaling: The R Package aspect (2010) not zbMATH

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