gllvm: Generalized Linear Latent Variable Models

Analysis of multivariate data using generalized linear latent variable models (gllvm). Estimation is performed using either Laplace approximation method or variational approximation method implemented via TMB (Kristensen et al., (2016), <doi:10.18637/jss.v070.i05>). For details see Niku et al. (2019a) <doi:10.1371/journal.pone.0216129> and Niku et al. (2019b) <doi:10.1111/2041-210X.13303>.

Package details

AuthorJenni 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]
MaintainerJenni Niku <jenni.m.e.niku@jyu.fi>
LicenseGPL-2
Version1.4.3
URL https://github.com/JenniNiku/gllvm
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("gllvm")

Try the gllvm package in your browser

Any scripts or data that you put into this service are public.

gllvm documentation built on Sept. 18, 2023, 5:22 p.m.