bbt_continue | R Documentation |
Do a full run: create a 'BEAST2' configuration file (like 'BEAUti 2'), run 'BEAST2', parse results (like 'Tracer')
bbt_continue(fasta_filename, inference_model, beast2_options)
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 |
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
Richèl J.C. Bilderbeek
Use remove_burn_ins
to remove the burn-ins from
the posterior's estimates (posterior$estimates
)
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()
}
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