Description Usage Arguments Value Examples
View source: R/deviance.rglmb.R
Returns the deviance of a fitted Bayesian Generalized Linear Model
1 2 |
object |
an object of class |
... |
further arguments to or from other methods |
A vector with the deviance extracted from the object
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1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 | ## ----dobson-------------------------------------------------------------------
## Dobson (1990) Page 93: Randomized Controlled Trial :
counts <- c(18,17,15,20,10,20,25,13,12)
outcome <- gl(3,1,9)
treatment <- gl(3,3)
## Prior mean vector
mu<-matrix(0,5)
mu[1,1]=log(mean(counts))
## Prior standard deviation and Variance
mysd<-1
V=((mysd)^2)*diag(5)
## Call to glmb
glmb.D93<-glmb(n=1000,counts ~ outcome + treatment,
family = poisson(),pfamily=dNormal(mu=mu,Sigma=V))
## ----glmb extractAIC-------------------------------------------------------------
extractAIC(glmb.D93)
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