tune: Burn-in and tune a Bayesian model sampler

In bsreg: Bayesian Spatial Regression Models

Burn-in and tune a Bayesian model sampler

Description

Burn-in and tune a Bayesian model sampler

Usage

tune(x, n_burn = 1000L, mh = set_mh(), verbose = TRUE)

burn(x, n_burn = 1000L, verbose = TRUE)

Arguments

x	Bayesian model
n_burn	Integer scalar with number of draws to save / burn.
mh	Settings to tune the Metropolis-Hastings step. See set_mh.
verbose	Logical scalar. Whether to print status updates.

Value

Modifies the Bayesian model in place and returns it invisibly.

bsreg documentation built on March 18, 2022, 5:36 p.m.