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lava: Latent Variable Models

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: 1.8.0
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: 2024-03-05
DOI: 10.32614/CRAN.package.lava
Author: Klaus K. Holst [aut, cre], Brice Ozenne [ctb], Thomas Gerds [ctb]
Maintainer: Klaus K. Holst <klaus at holst.it>
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:

Reference manual: lava.pdf
Vignettes: Estimating partial correlations with lava
The Art of Influence
Non-linear latent variable models and error-in-variable models

Downloads:

Package source: lava_1.8.0.tar.gz
Windows binaries: r-devel: lava_1.8.0.zip, r-release: lava_1.8.0.zip, r-oldrel: lava_1.8.0.zip
macOS binaries: r-release (arm64): lava_1.8.0.tgz, r-oldrel (arm64): lava_1.8.0.tgz, r-release (x86_64): lava_1.8.0.tgz, r-oldrel (x86_64): lava_1.8.0.tgz
Old sources: lava archive

Reverse dependencies:

Reverse depends: lavaSearch2, NMMIPW, targeted
Reverse imports: BuyseTest, DIRMR, FunctanSNP, LMMstar, mets, pec, polle, prodlim, Publish, riskRegression, SmoothHazard, timereg

Linking:

Please use the canonical form https://CRAN.R-project.org/package=lava 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.
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