set_mh: Settings to tune a Metropolis-Hastings step

In bsreg: Bayesian Spatial Regression Models

Settings to tune a Metropolis-Hastings step

Description

Settings to tune a Metropolis-Hastings step

Usage

set_mh(adjust_burn = 0.8, acc_target = c(0.2, 0.45), acc_change = 0.01)

Arguments

adjust_burn	Numeric scalar with the percentage of burn-in that should be used to tune the MH step.
acc_target	Numeric vector with the lower and upper bound of the target acceptance rate for the MH step.
acc_change	Numeric scalar with the percentage adjustment to the proposal scale for tuning.

Value

Returns a list with settings to tune the Metropolis-Hastings step of a Bayesian model.

Examples

set_mh(0.5, c(0.1, 0.5), .05)

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