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boral (version 2.0.3)

boral-package: Bayesian Ordination and Regression AnaLysis (boral)

Description

tools:::Rd_package_description("boral")

Arguments

Author

tools:::Rd_package_author("boral")

Maintainer: tools:::Rd_package_maintainer("boral")

Details

Package:boral
Type:Package
Version:0.6
Date:2014-12-12
License:GPL-2

References

  • Hui et al. (2014). Model-based approaches to unconstrained ordination. Methods in Ecology and Evolution, 6, 399-411.

  • Plummer, M. (2003). JAGS: A program for analysis of Bayesian graphical models using Gibbs sampling. In Proceedings of the 3rd International Workshop on Distributed Statistical Computing. March (pp. 20-22).

  • Skrondal, A., and Rabe-Hesketh, S. (2004). Generalized latent variable modeling: Multilevel, longitudinal, and structural equation models. CRC Press.

  • Warton et al. (2015). So Many Variables: Joint Modeling in Community Ecology. Trends in Ecology and Evolution, 30, 766-779.

  • Yi W. et al. (2013). mvabund: statistical methods for analysing multivariate abundance data. R package version 3.8.4.

Examples

Run this code
## Please see main boral function for examples. 

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