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The evidence graph links raw data, transformations, metrics, models, diagnostics, and decisions. The graph is deliberately explicit: its edges document declared dependencies rather than inferring causal relationships.
graph <- build_evidence_graph(
raw_data = c("gaze_samples", "pupil_samples"),
transformations = c("blink_removal", "baseline_correction", "probabilistic_AOI_assignment"),
metrics = c("pupil_auc", "AOI_entropy"),
models = c("functional_pupil_model", "item_process_model"),
diagnostics = c("high_effort_evidence", "low_discrimination_evidence"),
decisions = c("item_I17_revise")
)
plot_evidence_graph(graph)
trace <- trace_item_decision(graph, "I17")
plot_item_decision_path(trace)
audit_evidence_dependencies(graph)Graph comparison reveals exactly which evidence or dependencies changed between analysis versions.
comparison <- compare_decision_provenance(graph_v1, graph_v2)
plot(comparison)
plot_metric_dependency_graph(graph_v2)
plot_model_decision_impact(graph_v2)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.