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knitr::opts_chunk$set(collapse = TRUE, comment = "#>", eval = FALSE)
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)
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