Package: lava
Type: Package
Title: Latent Variable Models
Version: 1.6.9
Date: 2021-03-10
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 (2019) <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/
Additional_repositories: https://kkholst.github.io/r_repo/
BugReports: https://github.com/kkholst/lava/issues
License: GPL-3
LazyLoad: yes
Depends: R (>= 3.0)
Imports: grDevices, graphics, methods, numDeriv, stats, survival,
        SQUAREM, utils
Suggests: KernSmooth, Matrix, Rgraphviz, data.table, ellipse, fields,
        foreach, geepack, gof (>= 0.9), graph, knitr, bookdown,
        rmarkdown, igraph (>= 0.6), lava.tobit (>= 0.4.7), lavaSearch2,
        lme4, magrittr, mets (>= 1.1), nlme, optimx, polycor, quantreg,
        rgl, R.rsp (>= 0.40), testthat (>= 0.11), visNetwork, zoo
VignetteBuilder: knitr
ByteCompile: yes
Encoding: UTF-8
RoxygenNote: 7.1.1
NeedsCompilation: no
Packaged: 2021-03-10 15:14:41 UTC; klaus
Repository: CRAN
Date/Publication: 2021-03-11 06:20:11 UTC
