cvsem
SEM Model Comparison with K-Fold Cross-Validation
The goal of 'cvsem' is to provide functions that allow for comparing Structural Equation Models (SEM) using cross-validation. Users can specify multiple SEMs using 'lavaan' syntax. 'cvsem' computes the Kullback Leibler (KL) Divergence between 1) the model implied covariance matrix estimated from the training data and 2) the sample covariance matrix estimated from the test data described in Cudeck, Robert & Browne (1983) doi:10.18637/jss.v048.i02. The KL Divergence is computed for each of the specified SEMs allowing for the models to be compared based on their prediction errors.
- Version1.0.0
- R versionunknown
- LicenseGPL (≥ 3)
- Needs compilation?No
- Last release08/13/2022
Documentation
Team
Anna Wysocki
Philippe Rast
Show author detailsRolesAuthorDanielle Siegel
Show author detailsRolesAuthorCameron allen
Show author detailsRolesAuthor
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Last 30 days
This package has been downloaded 197 times in the last 30 days. Enough downloads to make a small wave in the niche community. The curiosity is spreading! The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 5 times.
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Last 365 days
This package has been downloaded 2,619 times in the last 365 days. Consider this 'mid-tier influencer' status—if it were a TikTok, it would get a nod from nieces and nephews. The day with the most downloads was Jan 21, 2025 with 26 downloads.
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Dependencies
- Imports2 packages
- Suggests1 package