1. Tutorial on the Use of the regsem Package in R
- Author
-
Xiaobei Li, Ross Jacobucci, and Brooke A. Ammerman
- Subjects
regularization ,structural equation modeling ,latent variables ,statistical learning ,Psychology ,BF1-990 - Abstract
Sparse estimation through regularization is gaining popularity in psychological research. Such techniques penalize the complexity of the model and could perform variable/path selection in an automatic way, and thus are particularly useful in models that have small parameter-to-sample-size ratios. This paper gives a detailed tutorial of the R package regsem, which implements regularization for structural equation models. Example R code is also provided to highlight the key arguments of implementing regularized structural equation models in this package. The tutorial ends by discussing remedies of some known drawbacks of a popular type of regularization, computational methods supported by the package that can improve the selection result, and some other practical issues such as dealing with missing data and categorical variables.
- Published
- 2021
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