gllvm: Fast analysis of multivariate abundance data with generalized linear latent variable models in r
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]
|Collections||ANU Research Publications|
|Source:||Methods in Ecology and Evolution|
|01_Niku_gllvm%3A_Fast_analysis_of_2019.pdf||1.57 MB||Adobe PDF||Request a copy|
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