Package: lvnet 0.3.5
Sacha Epskamp
lvnet: Latent Variable Network Modeling
Estimate, fit and compare Structural Equation Models (SEM) and network models (Gaussian Graphical Models; GGM) using OpenMx. Allows for two possible generalizations to include GGMs in SEM: GGMs can be used between latent variables (latent network modeling; LNM) or between residuals (residual network modeling; RNM). For details, see Epskamp, Rhemtulla and Borsboom (2017) <doi:10.1007/s11336-017-9557-x>.
Authors:
lvnet_0.3.5.tar.gz
lvnet_0.3.5.tar.gz(r-4.5-noble)lvnet_0.3.5.tar.gz(r-4.4-noble)
lvnet_0.3.5.tgz(r-4.4-emscripten)lvnet_0.3.5.tgz(r-4.3-emscripten)
lvnet.pdf |lvnet.html✨
lvnet/json (API)
NEWS
| # Install 'lvnet' in R: |
| install.packages('lvnet', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 6 years agofrom:7f4217f6ae. Checks:OK: 2. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Dec 13 2024 |
| R-4.5-linux | OK | Dec 13 2024 |
Exports:EBIClvglassolassoSelectlav2lvnetlvglassolvnetlvnetComparelvnetLassolvnetRefitlvnetSearch
Dependencies:abindarmbackportsbase64encBHbootbslibcachemcarDatacheckmatecliclustercodacolorspacecorpcorcpp11data.tabledigestdplyrevaluatefansifarverfastmapfdrtoolfontawesomeforeignFormulafsgenericsggplot2glassoglueGPArotationgridExtragtablegtoolshighrHmischtmlTablehtmltoolshtmlwidgetsigraphisobandjpegjquerylibjsonliteknitrkutilslabelinglatticelavaanlifecyclelisrelToRlme4magrittrMASSMatrixmemoisemgcvmimimeminqamnormtmunsellmvtnormnlmenloptrnnetnumDerivOpenMxopenxlsxpbapplypbivnormpillarpkgconfigplyrpngpsychqgraphquadprogR6rappdirsRColorBrewerRcppRcppEigenRcppParallelreshape2rlangrmarkdownrockchalkrpartrpfrstudioapiRUnitsassscalessemsemPlotStanHeadersstringistringrtibbletidyselecttinytexutf8vctrsviridisviridisLitewithrxfunXMLxtableyamlzip
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Latent variable graphical LASSO using EBIC to select optimal tuning parameter | EBIClvglasso |
| Update lvnatLasso results to select a different model | lassoSelect |
| Convert lavaan model to lvnet model matrices | lav2lvnet |
| Latent variable graphical LASSO | lvglasso |
| Confirmatory Latent Variable Network Models | lvnet |
| Compare lvnet objects | anova.lvnet lvnetCompare |
| LASSO model selection | lvnetLasso |
| Refit lvnet model to new data | lvnetRefit |
| Step-wise exploratory search for optimal fitting model | lvnetSearch |
| Plot model matrices | plot.lvnet plot.lvnetLasso plot.lvnetSearch |
| Summary method for lvnet | summary.lvnet summary.lvnetLasso summary.lvnetSearch |