SEM Model Comparison with K-Fold Cross-Validation
Overview
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.
Install
Health
- OK13 OK2026-08-05
- NOTE12 OK, 1 NOTE2026-08-01
- OK14 OK2026-03-10
Documentation
- Help pages
- 7 (1 internal)
- Examples that run
- 100%2 run in a plain check
- Exported functions with examples
- 100%
- Documented parameters
- 100%
- Return-value docs
- 100%
- Help pages citing references
- 57% with a bibliography file
Downloads
Dependencies
Code & Tests
People & History
- RR 4.6.0 released · 2026-04-24
- RR 4.5.0 released · 2025-04-11
- RR 4.4.0 released · 2024-04-24
- RR 4.3.0 released · 2023-04-21
- 1.0.0Latest2022-08-13 · current release
- RR 4.2.0 released · 2022-04-22
Package metadata
- First published
- 2022-08-13
- Total releases
- 1 / 4 yrs
- License
- GPL (>= 3) OSI
- Download size
- 19 KB
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