calcdicExtern: Calculates DIC

In bayespref: Hierarchical Bayesian analysis of ecological count data

Description

This function calculates the DIC score for an object return by bayesPref.

Usage

calcdicExtern(pData = NULL, prefres = NULL, pops = TRUE, 
dicburn = 0, estip = TRUE, measure = "median", constrainP = NULL)

Arguments

pData	A matrix of count data, rows are replicates or individuals and columns are categories.
prefres	An object returned by bayesPref.
pops	A Boolean indicating whether the first column of the matrix are values indicating populations.
dicburn	A value indicating the number of burnin samples discarded for DIC calculation.
estip	A boolean indicating whether to attempt to estimate individual preferences or only estimate population preference (the latter used a multivariate Polya).
measure	Indicates whether the "mean" or "median" is used for calculating DIC.
constrainP	A vector with one entry per population giving the group each population belongs to.

Author(s)

Zachariah Gompert [e-mail], James A. Fordyce [e-mail]

Examples

## Not run: 
data(YGGV)
res <- bayesPref(pData=YGGV,mcmcL=1000)
calcdicExtern(pData=YGGV,prefres=res,pops=TRUE,dicburn=100) 

## End(Not run)

bayespref documentation built on May 2, 2019, 11:28 a.m.