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DESCRIPTION
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DESCRIPTION
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Package: lava
Type: Package
Title: Latent Variable Models
Version: 1.7.2
Date: 2023-02-22
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/
BugReports: https://github.com/kkholst/lava/issues
License: GPL-3
LazyLoad: yes
Depends: R (>= 3.0)
Imports: future.apply, grDevices, graphics, methods, numDeriv,
progressr, stats, survival, SQUAREM, utils
Suggests: KernSmooth, Matrix, Rgraphviz, data.table, ellipse, fields,
geepack, graph, knitr, bookdown, rmarkdown, igraph (>= 0.6),
lavaSearch2, lme4, mets (>= 1.1), nlme, optimx, polycor,
quantreg, rgl, R.rsp (>= 0.40), targeted (>= 0.2), testthat (>=
0.11), visNetwork, zoo
VignetteBuilder: knitr
ByteCompile: yes
Encoding: UTF-8
RoxygenNote: 7.2.3
NeedsCompilation: no
Packaged: 2023-02-23 09:34:37 UTC; Klaus.Holst
Repository: CRAN
Date/Publication: 2023-02-23 12:10:02 UTC
Built: R 4.2.2; ; 2023-02-25 11:38:58 UTC; windows