lava: Latent Variable Models (original) (raw)
A general implementation of Structural Equation Models with latent variables (MLE, 2SLS, and composite likelihood estimators) with both continuous, censored, and ordinal outcomes (Holst and Budtz-Joergensen (2013) <doi:10.1007/s00180-012-0344-y>). Mixture latent variable models and non-linear latent variable models (Holst and Budtz-Joergensen (2020) <doi:10.1093/biostatistics/kxy082>). The package also provides methods for graph exploration (d-separation, back-door criterion), simulation of general non-linear latent variable models, and estimation of influence functions for a broad range of statistical models.
| Version: | 1.8.1 |
|---|---|
| Depends: | R (≥ 3.0) |
| Imports: | cli, future.apply, graphics, grDevices, methods, numDeriv, progressr, stats, survival, SQUAREM, utils |
| Suggests: | KernSmooth, Rgraphviz, data.table, ellipse, fields, geepack, graph, knitr, rmarkdown, igraph (≥ 0.6), lavaSearch2, lme4 (≥ 1.1.35.1), MASS, Matrix (≥ 1.6.3), mets (≥ 1.1), nlme, optimx, polycor, quantreg, rgl, targeted (≥ 0.4), testthat (≥ 0.11), visNetwork |
| Published: | 2025-01-12 |
| DOI: | 10.32614/CRAN.package.lava |
| Author: | Klaus K. Holst [aut, cre], Brice Ozenne [ctb], Thomas Gerds [ctb] |
| Maintainer: | Klaus K. Holst |
| BugReports: | https://github.com/kkholst/lava/issues |
| License: | GPL-3 |
| URL: | https://kkholst.github.io/lava/ |
| NeedsCompilation: | no |
| Citation: | lava citation info |
| Materials: | README NEWS |
| In views: | Psychometrics |
| CRAN checks: | lava results |
Documentation:
Downloads:
Reverse dependencies:
| Reverse depends: | lavaSearch2, NMMIPW, targeted |
|---|---|
| Reverse imports: | BuyseTest, DIRMR, FunctanSNP, LMMstar, mets, pec, polle, prodlim, Publish, riskRegression, SmoothHazard, timereg |
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