boral - Bayesian Ordination and Regression Analysis of Multivariate Abundance Data in r

Indirect gradient analysis by Markov-chain Monte Carlo

(2015) Steven C. Walker   PLANT ECOLOGY

So Many Variables: Joint Modeling in Community Ecology

(2015) David I. Warton et al.   TRENDS IN ECOLOGY & EVOLUTION

Generating realistic assemblages with a joint species distribution model

(2015) David J. Harris   Methods in Ecology and Evolution

Model-based approaches to unconstrained ordination

(2014) Francis K.C. Hui et al.   Methods in Ecology and Evolution

Understanding co-occurrence by modelling species simultaneously with a Joint Species Distribution Model (JSDM)

(2014) Laura J. Pollock et al.   Methods in Ecology and Evolution

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

(2014) Alexandra M. Brown et al.   Methods in Ecology and Evolution

Finite Mixture of Regression Modeling for High-Dimensional Count and Biomass Data in Ecology

(2013) Piers K. Dunstan et al.   JOURNAL OF AGRICULTURAL BIOLOGICAL AND ENVIRONMENTAL STATISTICS

Understanding predictive information criteria for Bayesian models

(2013) Andrew Gelman et al.   STATISTICS AND COMPUTING

‘Exciting statistics’: the rapid development and promising future of hierarchical models for population ecology

(2012) B. J. Halstead et al.   ANIMAL CONSERVATION

A Poisson–Gamma model for analysis of ecological non-negative continuous data

(2012) Scott D. Foster et al.   ENVIRONMENTAL AND ECOLOGICAL STATISTICS

Selecting traits that explain species-environment relationships: a generalized linear mixed model approach

(2012) Tahira Jamil et al.   JOURNAL OF VEGETATION SCIENCE

mvabund- anRpackage for model-based analysis of multivariate abundance data

(2012) Yi Wang et al.   Methods in Ecology and Evolution

A weakly informative default prior distribution for logistic and other regression models

(2009) Andrew Gelman et al.   Annals of Applied Statistics