gllvm: Fast analysis of multivariate abundance data with generalized linear latent variable models in r-Reference-Cited by-同舟云学术

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

Published:2019-10-22 Issue:12 Volume:10 Page:2173-2182
ISSN:2041-210X
Container-title:Methods in Ecology and Evolution
language:en
Short-container-title:Methods Ecol Evol

Author:

Niku Jenni¹^ORCID,Hui Francis K. C.²,Taskinen Sara¹,Warton David I.³^ORCID

Affiliation:

1. Department of Mathematics and Statistics University of Jyväskylä Jyväskylä Finland

2. Research School of Finance Actuarial Studies & Statistics Australian National University Canberra Australia

3. School of Mathematics and Statistics and Evolution & Ecology Research Centre UNSW Sydney Canberra Australia

Funder

Jenny ja Antti Wihurin Rahasto

Publisher

Wiley

Subject

Ecological Modeling,Ecology, Evolution, Behavior and Systematics

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/2041-210X.13303

Reference30 articles.

1. Uncovering the drivers of host-associated microbiota with joint species distribution modelling

2. The fourth-corner solution - using predictive models to understand how species traits interact with the environment

3. Climate change hastens the turnover of stream fish assemblages

4. Theade4Package: Implementing the Duality Diagram for Ecologists

5. Randomized Quantile Residuals

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