tune function

Burn-in and tune a Bayesian model sampler

Burn-in and tune a Bayesian model sampler

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.

Returns

Modifies the Bayesian model in place and returns it invisibly.

  • Maintainer: Nikolas Kuschnig
  • License: GPL-3 | file LICENSE
  • Last published: 2022-02-25

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