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dd_build() — construct a drift_panel
object from long-format panel data.dd_prevalence() — detect drift in decision rate;
computes Decision Drift Index (DDI).dd_transition() — detect drift in transition structure;
computes Transition Drift Index (TDI).dd_entropy_trend() — track rolling Shannon entropy and
switching rate over time.dd_group_drift() — detect group-differential drift;
computes Group Differential Drift (GDD).dd_changepoint() — change-point and regime-shift
detection via CUSUM, segmented regression, and event alignment.dd_indices() — compute all four original drift indices
in one call: DDI, TDI, GDD (Group Differential Drift), CDB (Cumulative
Drift Burden).dd_robustness() — test stability of drift conclusions
across analytic choices (balanced panel, leave-one-period-out,
leave-one-group-out, min_waves grid, bootstrap CI).dd_sensitivity() — probe vulnerability to data
problems: decision miscoding, missing-wave attrition, threshold shifts,
and subgroup composition shifts.dd_audit() — integrated three-layer audit (detection →
decomposition → stress-testing) with a single-call verdict.plot() methods for all module outputs.plot.dd_audit() (requires
patchwork).decisionpathsdecisionpaths asks: What happened? (path
construction, DRI, entropy, equity)DecisionDrift asks: Did the system change?
(drift detection, decomposition, stress-testing)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.