Source: r-cran-lava
Standards-Version: 4.7.4
Maintainer: Debian R Packages Maintainers <r-pkg-team@alioth-lists.debian.net>
Uploaders:
 Andreas Tille <tille@debian.org>,
Section: gnu-r
Testsuite: autopkgtest-pkg-r
Build-Depends:
 debhelper-compat (= 13),
 dh-r,
 r-base-dev,
 r-cran-cli,
 r-cran-future.apply,
 r-cran-numderiv,
 r-cran-progressr,
 r-cran-survival,
 r-cran-squarem,
 architecture-is-64-bit,
 architecture-is-little-endian,
Vcs-Browser: https://salsa.debian.org/r-pkg-team/r-cran-lava
Vcs-Git: https://salsa.debian.org/r-pkg-team/r-cran-lava.git
Homepage: https://cran.r-project.org/package=lava
Rules-Requires-Root: no

Package: r-cran-lava
Architecture: all
Depends:
 ${R:Depends},
 ${misc:Depends},
Recommends:
 ${R:Recommends},
Suggests:
 ${R:Suggests},
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.
