Gllvm 2.0: fast fitting of advanced ordination methods and joint species distribution models.

ABSTRACT:

Background

Over the past decade, joint species distribution models (JSDMs) and model-based ordination have emerged as powerful tools for the analysis of community ecology data. Generalized linear latent variable models (GLLVMs) offer a flexible framework for multivariate analysis of a wide range of data types, based on including a small number of latent variables to perform dimension reduction while accounting for residual correlation between species.

Fast estimation methods

The R package gllvm implements a wide range of GLLVMs, with estimation performed via fast approximate likelihood-based techniques; including the recently proposed extended variational approximation, which is applicable to almost any combination of response type and link function. Since its original devel

SUBMITTER: Korhonen P 

PROVIDER: S-EPMC12704334 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature