Package: lava
Type: Package
Title: Latent Variable Models
Version: 1.9.0
Authors@R: c(person("Klaus K.", "Holst", email="klaus@holst.it", role=c("aut", "cre")),
		   person("Brice", "Ozenne", role = "ctb"),
		   person("Thomas", "Gerds", role = "ctb"))
Author: Klaus K. Holst [aut, cre],
  Brice Ozenne [ctb],
  Thomas Gerds [ctb]
Maintainer: Klaus K. Holst <klaus@holst.it>
Description: 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.
URL: https://kkholst.github.io/lava/, https://github.com/kkholst/lava
BugReports: https://github.com/kkholst/lava/issues
License: Apache License (== 2.0)
LazyLoad: yes
Depends: R (>= 3.5.0)
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, svglite, targeted (>= 0.4),
        testthat (>= 0.11), vdiffr, visNetwork
VignetteBuilder: knitr,rmarkdown
ByteCompile: yes
Encoding: UTF-8
RoxygenNote: 7.3.3
NeedsCompilation: no
Packaged: 2026-04-04 21:38:29 UTC; klaus
Repository: CRAN
Date/Publication: 2026-04-05 05:10:02 UTC
