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The expanded post-fit system separates fitting, diagnostics, sensitivity, simulation validation, provenance, publication output, and interpretation.
bundle <- create_analysis_bundle(fit, ndraws = 1000, include_loo = TRUE)
bridge <- prior_posterior_bridge(fit)
loo_atlas <- create_loo_influence_atlas(
bundle$components$loo$value,
data = fit$specification$prepared$data
)
manifest <- create_analysis_manifest(fit = fit, estimands = "primary")
card <- create_model_card(
fit,
analysis_bundle = bundle,
manifest = manifest,
label = "Primary model"
)
dashboard <- create_diagnostic_dashboard(
fit = fit,
analysis_bundle = bundle,
model_card = card,
loo = loo_atlas,
prior_posterior = bridge,
sensitivity = prior_sensitivity,
recovery = recovery,
sbc = sbc_result,
label = "Primary-model evidence"
)
inventory <- create_complete_evidence_inventory(
bundle = bundle,
model_card = card,
loo = loo_atlas,
prior_posterior = bridge,
sensitivity = prior_sensitivity,
recovery = recovery,
sbc = sbc_result
)No dashboard, registry, sensitivity result, recovery result, SBC graphic, or LOO diagnostic automatically establishes causal validity or selects a preferred model.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.