set_mh {bsreg} R Documentation

## 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)


[Package bsreg version 0.0.2 Index]