babette (version 2.3.3)

bbt_continue: Continue a BEAST2 run

Description

Do a full run: create a 'BEAST2' configuration file (like 'BEAUti 2'), run 'BEAST2', parse results (like 'Tracer')

Usage

bbt_continue(fasta_filename, inference_model, beast2_options)

Value

a list with the following elements:

• estimates: a data frame with 'BEAST2' parameter estimates

• [alignment_id]_trees: a multiPhylo containing the phylogenies in the 'BEAST2' posterior. [alignment_id] is the ID of the alignment. For example, when running bbt_run_from_model with anthus_aco.fas, this element will have name anthus_aco_trees

• operators: a data frame with the 'BEAST2' MCMC operator acceptances

• output: a numeric vector with the output sent to standard output and error streams

• ns: (optional) the results of a marginal likelihood estimation, will exist only when create_ns_mcmc was used for mcmc. This structure will contain the following elements:

  • marg_log_lik the marginal log likelihood estimate

  • marg_log_lik_sd the standard deviation around the estimate

  • estimates the parameter estimates created during the marginal likelihood estimation

  • trees the trees created during the marginal likelihood estimation

Arguments

fasta_filename

a FASTA filename

inference_model

a Bayesian phylogenetic inference model, as returned by create_inference_model

beast2_options

'BEAST2' options, as can be created by create_beast2_options

Author

Richèl J.C. Bilderbeek

See Also

Use remove_burn_ins to remove the burn-ins from the posterior's estimates (posterior$estimates)

Examples

if (beautier::is_on_ci() && is_beast2_installed()) {
  beastier::remove_beaustier_folders()
  beastier::check_empty_beaustier_folders()

  # A simple FASTA file
  fasta_filename <- beautier::get_beautier_path("test_output_0.fas")

  # Simple short inference
  inference_model <- create_test_inference_model()

  # Default BEAST2 options
  beast2_options <- create_beast2_options()

  bbt_run_from_model(
    fasta_filename = fasta_filename,
    inference_model = inference_model,
    beast2_options = beast2_options
  )

  bbt_continue(
    fasta_filename = fasta_filename,
    inference_model = inference_model,
    beast2_options = beast2_options
  )

  # Cleanup
  bbt_delete_temp_files(
    inference_model = inference_model,
    beast2_options = beast2_options
  )
  beastier::remove_beaustier_folders()
  beastier::check_empty_beaustier_folders()
}