To cite lessSEM in publications, please cite the original publications on regularized SEM and the package.
To cite the package:
Orzek J (2023).lessSEM: Non-Smooth Regularization for Structural Equation Models.R package version 1.4,https://github.com/jhorzek/lessSEM.
Orzek J, Arnold M, Voelkle M (2023).“Striving for Sparsity: On Exact and Approximate Solutions in Regularized Structural Equation Models.”Structural Equation Modeling: A Multidisciplinary Journal.doi:10.1080/10705511.2023.2189070.
Original publication on regularized SEM - 1
Jacobucci R, Grimm K, McArdle J (2016).“Regularized structural equation modeling.”Structural Equation Modeling: A Multidisciplinary Journal,23(4), 555-566.doi:10.1080/10705511.2016.1154793.
Original publication on regularized SEM - 2
Huang P, Chen H, Weng L (2017).“A penalized likelihood method for structural equation modeling.”Psychometrika,82(2), 329-354.doi:10.1007/s11336-017-9566-9.
For multi-group models, please cite:
Huang P (2018).“A penalized likelihood method for multi-group structural equation modelling.”British Journal of Mathematical and Statistical Psychology,71(3), 499-522.doi:10.1111/bmsp.12130.
Corresponding BibTeX entries:
@Manual{, title = {lessSEM: Non-Smooth Regularization for Structural Equation Models}, author = {Jannik H. Orzek}, year = {2023}, url = {https://github.com/jhorzek/lessSEM}, note = {R package version 1.4}, } @Article{, title = {Striving for Sparsity: On Exact and Approximate Solutions in Regularized Structural Equation Models}, author = {Jannik H. Orzek and Manuel Arnold and Manuel C. Voelkle}, journal = {Structural Equation Modeling: A Multidisciplinary Journal}, year = {2023}, doi = {10.1080/10705511.2023.2189070}, } @Article{, title = {Regularized structural equation modeling}, author = {Ross Jacobucci and Kevin J. Grimm and John J. McArdle}, journal = {Structural Equation Modeling: A Multidisciplinary Journal}, year = {2016}, volume = {23}, number = {4}, pages = {555-566}, doi = {10.1080/10705511.2016.1154793}, } @Article{, title = {A penalized likelihood method for structural equation modeling}, author = {Po-Hsien Huang and Hung Chen and Li-Jen Weng}, journal = {Psychometrika}, year = {2017}, volume = {82}, number = {2}, pages = {329-354}, doi = {10.1007/s11336-017-9566-9}, } @Article{, title = {A penalized likelihood method for multi-group structural equation modelling}, author = {Po-Hsien Huang}, journal = {British Journal of Mathematical and Statistical Psychology}, year = {2018}, volume = {71}, number = {3}, pages = {499-522}, doi = {10.1111/bmsp.12130}, }