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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.