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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.

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Generalized Linear Latent Variable Models

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  • R 91.6%
  • C++ 8.4%