Analysis of multivariate data using generalized linear latent variable models (gllvm). Estimation is performed using either the Laplace method, variational approximations, or extended variational approximations, implemented via TMB (Kristensen et al. (2016), <doi:10.18637/jss.v070.i05>).
Version: 2.0.2 Depends: R (≥ 3.5.0), TMB Imports: MASS, Matrix, fishMod, mgcv, alabama, nloptr, methods LinkingTo: TMB, RcppEigen Suggests: knitr, rmarkdown, testthat, gclus, corrplot, lattice, mvabund, ape, parallel Published: 2025-04-08 DOI: 10.32614/CRAN.package.gllvm Author: Jenni Niku [aut, cre], Wesley Brooks [aut], Riki Herliansyah [aut], Francis K.C. Hui [aut], Pekka Korhonen [aut], Sara Taskinen [aut], Bert van der Veen [aut], David I. Warton [aut] Maintainer: Jenni Niku <jenni.m.e.niku at jyu.fi> BugReports: https://github.com/JenniNiku/gllvm/issues License: GPL-2 URL: https://jenniniku.github.io/gllvm/, https://github.com/JenniNiku/gllvm NeedsCompilation: yes Citation: gllvm citation info Materials: README NEWS In views: Environmetrics, MixedModels CRAN checks: gllvm results Documentation: Downloads: Reverse dependencies: Linking:Please use the canonical form https://CRAN.R-project.org/package=gllvm to link to this page.
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