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