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 22 articles )

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  1. Nora Umbach and Katharina Naumann and Holger Brandt and Augustin Kelava: Fitting Nonlinear Structural Equation Models in R with Package nlsem (2017)
  2. 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)
  3. 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)
  4. Daniel Oberski: lavaan.survey: An R Package for Complex Survey Analysis of Structural Equation Models (2014)
  5. Holst, Klaus Kähler; Budtz-Jørgensen, Esben: Linear latent variable models: the lava-package (2013)
  6. Wollschläger, Daniel: R compact. The fast introduction into data analysis (2013)
  7. Zhang, Zhiyong; Wang, Lijuan: Methods for mediation analysis with missing data (2013)
  8. Armin Monecke; Friedrich Leisch: semPLS: Structural Equation Modeling Using Partial Least Squares (2012)
  9. 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)
  10. Sacha Epskamp; Angélique Cramer; Lourens Waldorp; Verena Schmittmann; Denny Borsboom: qgraph: Network Visualizations of Relationships in Psychometric Data (2012)
  11. Yuan, Ke-Hai; Zhang, Zhiyong: Robust structural equation modeling with missing data and auxiliary variables (2012)
  12. Yves Rosseel: lavaan: An R Package for Structural Equation Modeling (2012)
  13. Bjorn Roelstraete; Yves Rosseel: FIAR: An R Package for Analyzing Functional Integration in the Brain (2011)
  14. 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)
  15. Everitt, Brian; Hothorn, Torsten: An introduction to applied multivariate analysis with R. (2011)
  16. Patrick Mair; Jan de Leeuw: A General Framework for Multivariate Analysis with Optimal Scaling: The R Package aspect (2010)
  17. Satorra, Albert; Bentler, Peter M.: Ensuring positiveness of the scaled difference chi-square test statistic (2010)
  18. Wollschläger, Daniel: Foundations of data analysis with R. An application oriented introduction. (2010)
  19. Brunner, Jerry; Austin, Peter C.: Inflation of type I error rate in multiple regression when independent variables are measured with error (2009)
  20. Drton, Mathias; Eichler, Michael; Richardson, Thomas S.: Computing maximum likelihood estimates in recursive linear models with correlated errors (2009)

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