Nothing
## get some data
attach(longley)
## get model data
md <- modelData(y=Employed,
X=cbind(GNP, Armed.Forces),
gPrior="hyper-g/n")
## get models table
tab <- exhaustive(modelData=md)$models
tab
## get posterior samples from the BMA assuming
## a flat model prior
res <- getBmaSamples(config=tab,
logPostProbs=tab$logMargLik,
nSamples=1000L,
modelData=md)
str(res)
summary(res$t)
hist(res$t, nclass=100)
## now for generalised response:
## get the model data
md <- glmModelData(y=as.numeric(Employed > 64),
X=cbind(GNP, Armed.Forces),
family=binomial)
## get models table
tab <- exhaustive(modelData=md,
computation=
getComputation(higherOrderCorrection=FALSE))$models
## get posterior samples from the BMA assuming
## a flat model prior
res <- getBmaSamples(config=tab,
logPostProbs=tab$logMargLik,
nSamples=1000L,
modelData=md,
mcmc=
getMcmc(burnin=10L,
step=1L),
computation=
getComputation(higherOrderCorrection=FALSE))
str(res)
hist(res$t, nclass=100)
res$config
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