optimise_beta: Optimise beta values for MCMC rungs

In Michael-Stevens-27/silverblaze: Geographic Profiling in R

Description

repeatedly run burn in phase of MCMC to find vector of beta values that achieve a required coupling acceptance rate between all rungs

Usage

optimise_beta(
  proj,
  K = 3,
  target_acceptance = 0.4,
  max_iterations = 100,
  beta_init = seq(0, 1, l = 10),
  silent = FALSE,
  ...
)

Arguments

proj	An rgeoprofile project
K	The value or values of K to optimise beta for
target_acceptance	The minimum acceptance probability to be reached between MCMC chains before the process terminates
max_iterations	Run analyses a maximum number of times before terminating
beta_init	An initial set of beta values to run - a sequence from zero to one
silent	print output from console
...	extra arguments to be sent to the run_mcmc function

Michael-Stevens-27/silverblaze documentation built on May 28, 2021, 5:47 p.m.