In this video Francis Hui introduces boral, a new R package he developed for Bayesian analysis of multivariate data in ecology. It uses Bayesian MCMC estimation to fit latent variable models for unconstrained ordination (read the MEE paper, Model-based approaches to unconstrained ordination, for details), and for multi-species inference while accounting for inter-species correlation:
- Download boral from CRAN
- Read the MEE paper Model-based approaches to unconstrained ordination
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