getSamples function

Extract the MCMC samples from an object of type bayesGAMfit

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

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

Returns

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)