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Changelog

Only major releases (v0.x.0) are listed.

v0.4.0 (2025-01)

Unified API with Axis Metrics

  • Introduced x_metric / y_metric parameters to fit_priority_matrix() for flexible axis definitions beyond default volume/growth
  • Added x_score / y_score coordinate-based quadrant classification (replaces Random_Intercept/Random_Slope naming in outputs)
  • Added Gamma family support for continuous GLMM (e.g., duration or amount metrics)
  • Gaussian GLMM support for metric-based axes
  • Improved quadrant label rendering with configurable legend position (legend_loc, show_legend)
  • Row-aligned quadrant label offsetting to avoid legend overlap

v0.3.0 (2024-12)

Entity Metrics and Priority Indices

  • Implemented add_priority_indices() for composite index calculation:
  • RI (Risk Index): volume + growth + severity
  • SQI (Service Quality Index): resolution speed + recovery rate
  • EWI (Early Warning Index): blends RI and SQI for prioritization
  • Added aggregate_entity_metrics() helper for per-entity metric aggregation
  • Added sensitivity_analysis() for weight stability testing
  • Monthly granularity support (beta) in GLMM and visualizations
  • Unified px.* namespace imports pattern

v0.2.0 (2024-11)

Transition Tracking and Visualization

  • Implemented track_cumulative_movement() for entity trajectory tracking
  • Added extract_transitions() for quadrant movement detection
  • Transition timeline visualization with priority-based coloring (Crisis/Investigate/Monitor/Low)
  • Spike markers (*X, *Y, *XY) for volume/growth spikes
  • Deterministic seeding via PRIORITYX_GLMM_SEED for reproducible GLMM fits
  • plot_entity_trajectories() for movement path visualization
  • Transition driver analysis (experimental)

v0.1.0 (2024-10)

Initial Release

  • Core GLMM estimation with Poisson mixed effects (statsmodels backend)
  • fit_priority_matrix() main API for entity prioritization
  • Quadrant classification (Q1-Q4) based on volume and growth
  • Priority matrix scatter plot visualization
  • Quarterly, yearly, and semiannual temporal granularity
  • Date filtering and minimum observation thresholds
  • CSV and plot export with configurable output directories