bayesian_process_diagnostics_dashboard: Summarize Bayesian process-model diagnostics

In eyeprocess: Harmonize Eye-Tracking, Pupillometry, Biometrics, and Psychometric Process Data

Summarize Bayesian process-model diagnostics

Description

Collects model availability, optional approximate leave-one-out summaries, posterior diagnostics, and (only when explicitly requested) a Bayes-factor comparison. The function does not treat any one diagnostic as proof of the substantive process interpretation.

Usage

bayesian_process_diagnostics_dashboard(
  ...,
  model_names = NULL,
  compute_loo = TRUE,
  compute_bayes_factor = FALSE,
  posterior_summary = TRUE
)

Arguments

...	Fitted 'brmsfit' objects.
model_names	Optional model labels.
compute_loo	Whether to compute approximate leave-one-out diagnostics.
compute_bayes_factor	Whether to attempt a Bayes factor. This requires exactly two suitable brms models and typically models fitted with 'save_pars = save_pars(all = TRUE)'.
posterior_summary	Whether to collect posterior convergence summaries when package 'posterior' is available.

Value

An 'eye_bayesian_process_dashboard' object.

eyeprocess documentation built on Sept. 28, 2026, 5:08 p.m.