getSamples: Get posterior samples for a specific model configuration
In hypergsplines: Bayesian model selection with penalised splines and hyper-g prior

Description Usage Arguments Value Author(s) Examples

Get posterior samples for a specific model configuration

1	getSamples(config, nSamples, modelData)

`config`	the model configuration vector
`nSamples`	number of samples to simulate
`modelData`	the data necessary for model estimation, which is the result from `modelData`

A list with samples from the shrinkage hyperparameter t = g / (g + 1), the regression variance, and the (linear and spline) coefficients.

Daniel Sabanes Bove daniel.sabanesbove@ifspm.uzh.ch

## get some data
attach(longley)

## get model data
md <- modelData(y=Employed,
                X=cbind(GNP, Armed.Forces))

## get posterior samples for a specific model configuration
res <- getSamples(config=c(2, 2),
                  nSamples=1000L,
                  modelData=md)
str(res)