The hardware and bandwidth for this mirror is donated by METANET, the Webhosting and Full Service-Cloud Provider.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]metanet.ch.
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.
| Version: | 1.0.0 |
| Imports: | lavaan, stats, Rdpack |
| Suggests: | testthat (≥ 3.0.0) |
| Published: | 2022-08-13 |
| DOI: | 10.32614/CRAN.package.cvsem |
| Author: | Anna Wysocki [aut, cre], Danielle Siegel [aut], Cameron allen [aut], Philippe Rast [aut] |
| Maintainer: | Anna Wysocki <awysocki at ucdavis.edu> |
| License: | GPL (≥ 3) |
| NeedsCompilation: | no |
| Materials: | README |
| CRAN checks: | cvsem results |
| Reference manual: | cvsem.pdf |
| Package source: | cvsem_1.0.0.tar.gz |
| Windows binaries: | r-devel: cvsem_1.0.0.zip, r-release: cvsem_1.0.0.zip, r-oldrel: cvsem_1.0.0.zip |
| macOS binaries: | r-release (arm64): cvsem_1.0.0.tgz, r-oldrel (arm64): cvsem_1.0.0.tgz, r-release (x86_64): cvsem_1.0.0.tgz, r-oldrel (x86_64): cvsem_1.0.0.tgz |
Please use the canonical form https://CRAN.R-project.org/package=cvsem to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.