| BayesComm-package {BayesComm} | R Documentation |
Bayesian community ecology analysis
Description
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).
Details
| 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).
Author(s)
Nick Golding <nick.golding@zoo.ox.ac.uk> \& Dave Harris
References
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.
See Also
BC, BCfit,
window.bayescomm, plot.bayescomm, print.bayescomm, summary.bayescomm, residuals.bayescomm,
DIC, devpart,