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gllvm: Fast analysis of multivariate abundance data with generalized linear latent variable models in r

Niku, Jenni; Hui, Francis; Taskinen, Sara; Warton, David I.


1.There has been rapid development in tools for multivariate analysis based on fully specified statistical models or ‘joint models’. One approach attracting a lot of attention is generalized linear latent variable models (GLLVMs). However, software for fitting these models is typically slow and not practical for large datasets. 2. The r package gllvm offers relatively fast methods to fit GLLVMs via maximum likelihood, along with tools for model checking, visualization and inference. 3. The...[Show more]

CollectionsANU Research Publications
Date published: 2019
Type: Journal article
Source: Methods in Ecology and Evolution
DOI: 10.1111/2041-210X.13303


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