getSamples: Extract the MCMC samples from an object of type 'bayesGAMfit'

In bayesGAM: Fit Multivariate Response Generalized Additive Models using Hamiltonian Monte Carlo

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)             

bayesGAM documentation built on March 18, 2022, 6:29 p.m.