getSamples {bayesGAM}

Extract the MCMC samples from an object of type bayesGAMfit

Description

Returns an array of the posterior simulation from Stan. Optionally, may return a subsample from the full MCMC simulation.

Usage

getSamples(object, ...)

## S4 method for signature 'bayesGAMfit'
getSamples(object, nsamp = NULL, seednum = NULL, ...)

## S4 method for signature 'stanfit'
getSamples(object, nsamp = 1000, seednum = NULL, results = NULL, ...)

## S4 method for signature 'glmModel'
getSamples(object, nsamp = NULL, seednum = NULL, results = NULL, ...)

Arguments

object

model object of class bayesGAMfit

...

Additional parameters passed to corrplot.mixed

nsamp

Optional number of samples to return

seednum

Optional integer for seed number when selecting a random sample

results

Matrix of HMC posterior samples

Value

array of the posterior simulation, or subsample of the array

NA

Examples

require(stats); require(graphics)
f <- bayesGAM(weight ~ np(height), data = women, family = gaussian, 
              iter = 500, chains = 1)
allres <- getSamples(f)