BayesTools_ensemble_tables {BayesTools} | R Documentation |
Creates estimate summaries based on posterior distributions created by mix_posteriors, inference summaries based on inference created by ensemble_inference, or ensemble summary/diagnostics based on a list of models_inference models.
ensemble_estimates_table( samples, parameters, probs = c(0.025, 0.95), title = NULL, footnotes = NULL, warnings = NULL ) ensemble_inference_table( inference, parameters, logBF = FALSE, BF01 = FALSE, title = NULL, footnotes = NULL, warnings = NULL ) ensemble_summary_table( models, parameters, title = NULL, footnotes = NULL, warnings = NULL, remove_spike_0 = TRUE, short_name = FALSE ) ensemble_diagnostics_table( models, parameters, title = NULL, footnotes = NULL, warnings = NULL, remove_spike_0 = TRUE, short_name = FALSE )
samples |
posterior samples created by mix_posteriors |
parameters |
character vector of parameters (or a named list with of character vectors for summary and diagnostics tables) specifying the parameters (and their grouping) for the summary table |
probs |
quantiles for parameter estimates |
title |
title to be added to the table |
footnotes |
footnotes to be added to the table |
warnings |
warnings to be added to the table |
inference |
model inference created by ensemble_inference |
logBF |
whether the Bayes factor should be on log scale |
BF01 |
whether the Bayes factor should be inverted |
models |
list of models_inference model objects,
each of which containing a list of |
remove_spike_0 |
whether prior distributions equal to spike
at 0 should be removed from the |
short_name |
whether the prior distribution names should be
shortened. Defaults to |
ensemble_estimates_table
returns a table with the
model-averaged estimates, ensemble_inference_table
returns
a table with the prior and posterior probabilities and inclusion
Bayes factors, ensemble_summary_table
returns a table with
overview of the models included in the ensemble, and
ensemble_diagnostics_table
returns an overview of the MCMC
diagnostics for the models included in the ensemble. All of the
tables are objects of class 'BayesTools_table'.
ensemble_inference mix_posteriors BayesTools_model_tables