Description
Generalized Linear Latent Variable Models.
Description
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>.
README.md
gllvm
gllvm is an R package for analysing multivariate ecological data with Generalized Linear Latent Variable Models (GLLVM). Estimation is performed using maximum likelihood estimation, together with either variational approximation (VA) or Laplace approximation (LA) method to approximate the marginal likelihood.
Installation
From CRAN you can install the package using:
install.packages("gllvm")
Or the development version of gllvm from github with the help of devtools package using:
devtools::install_github("JenniNiku/gllvm")
Getting started
For getting started with gllvm we recommend to read vignette Analysing multivariate abundance data using gllvm or introductions for using gllvm for ordination and for analysing species correlations.