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Package: lava
Type: Package
Title: Latent Variable Models
Version: 1.6.3
Date: 2018-08-03
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 (two-stage)...
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://github.com/kkholst/lava
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,
ascii,
data.table,
ellipse,
fields,
foreach,
geepack,
gof (>= 0.9),
graph,
igraph (>= 0.6),
lava.tobit (>= 0.4.7),
lme4,
mets (>= 1.1),
nlme,
optimx,
polycor,
quantreg,
rgl,
testthat (>= 0.11),
visNetwork,
zoo
ByteCompile: yes
Roxygen: list(wrap = FALSE)
RoxygenNote: 6.0.1