BayesComm-package: Bayesian community ecology analysis
In BayesComm: Bayesian Community Ecology Analysis

Description Details Author(s) References See Also

BayesComm fits Bayesian multivariate binary (probit) regression models for analysis of ecological communities. These models can be used to make inference about underlying inter-species interactions in communities and to separate the effects of environmental covariates and inter-species interactions on community assembly. This package accompanies the paper (in preparation) by Golding et al. (2013) and is based on a model described by Edwards and Allenby (2003).

Package:	BayesComm
Type:	Package
Version:	0.1-1
Date:	2014-03-07
License:	GPL (>=2)

BayesComm models take as input a matrix of species presence/absence records and optionally a matrix of environmental covariates. BC is the main function for setting up models. It is a wrapper function to BCfit and returns a bayescomm object. bayescomm objects have associated summary, plot, print, window and residuals functions. Functions are also provided to calculate Deviance Information Criteria (DIC) and run a deviance partitioning procedure on model outputs (devpart).

Full details of formulation of the model are given in Golding et al. (2013).

Nick Golding <nick.golding@zoo.ox.ac.uk> \& Dave Harris

Golding (2013) Mapping and understanding the distributions of potential vector mosquitoes in the UK: New methods and applications. (Chapter 3) http://dx.doi.org/10.6084/m9.figshare.767289
Edwards, Y., Allenby, G. (2003) Multivariate analysis of multiple response data. Journal of Marketing Research, 40 (3) 321-34.

BC, BCfit, window.bayescomm, plot.bayescomm, print.bayescomm, summary.bayescomm, residuals.bayescomm, DIC, devpart,