Changes in version 0.1.0 (2026-04-16)                  

Initial release

Core modules

  - 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.

Summary indices

  - dd_indices() — compute all four original drift indices in one call:
    DDI, TDI, GDD (Group Differential Drift), CDB (Cumulative Drift
    Burden).

Robustness & sensitivity

  - 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.

Flagship audit

  - dd_audit() — integrated three-layer audit (detection → decomposition
    → stress-testing) with a single-call verdict.

Plotting

  - S3 plot() methods for all module outputs.
  - Multi-panel composite via plot.dd_audit() (requires patchwork).

Relationship to decisionpaths

  - decisionpaths asks: What happened? (path construction, DRI, entropy,
    equity)
  - DecisionDrift asks: Did the system change? (drift detection,
    decomposition, stress-testing)
  - These packages form complementary layers of a longitudinal decision
    audit framework.