update.zitobitQR: Model update

In brsantos/baquantreg: Bayesian quantile regression methods

Model update

Description

This function updates the chains for a model fitted by the function zitobitQR.

Usage

## S3 method for class 'zitobitQR'
update(object, itNum, thin = 1, sigmaGamma, ...)

Arguments

object	Fitted model by the function zitobitQR
itNum	Size of the chain that will be added to the current available chain.
thin	Thinning parameter for the chains.
sigmaGamma	Tuning parameter for the Metropolis-Hasting part of the algorithm.
...	other summary parameters (currently not used)

Value

A list with the updated chains.

See Also

zitobitQR

Examples

## Not run: 
set.seed(1)
data("BrazilDurableGoods")
# Change the number of iterations for better results.
model <- zitobitQR(expenditure ~ age + education, tau = 0.5,
                  data = BrazilDurableGoods, itNum = 100,
                  sigmaGamma = 0.10, refresh = 20)
model <- update(model, 100, thin=1, sigmaGamma = 0.10, refresh=10)

## End(Not run)

brsantos/baquantreg documentation built on July 30, 2024, 1:59 p.m.