Package: r-cran-lava
Version: 1.9.2+dfsg-1
Architecture: all
Maintainer: Ubuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
Original-Maintainer: Debian R Packages Maintainers <r-pkg-team@alioth-lists.debian.net>
Installed-Size: 3510
Depends: r-api-4.0, r-cran-cli, r-cran-future.apply, r-cran-numderiv, r-cran-progressr, r-cran-survival, r-cran-squarem
Recommends: r-cran-kernsmooth, r-cran-data.table, r-cran-ellipse, r-cran-fields, r-cran-future, r-cran-geepack, r-bioc-graph, r-cran-knitr, r-cran-rmarkdown, r-cran-igraph, r-cran-lavasearch2, r-cran-lme4, r-cran-mass, r-cran-matrix (>= 1.6.3), r-cran-mets, r-cran-nlme, r-cran-optimx, r-cran-polycor, r-cran-quantreg, r-cran-rgl, r-cran-svglite, r-cran-testthat, r-cran-vdiffr, r-cran-visnetwork
Section: gnu-r
Priority: optional
Homepage: https://cran.r-project.org/package=lava
Description: 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.
