NEWS
dormancy 0.1.0 (2026-03-16)
New Features
Core Detection
dormancy_detect(): Main function for detecting dormant patterns with four methods:
- Conditional detection: finds patterns suppressed by conditions
- Threshold detection: finds patterns emerging at thresholds
- Phase detection: finds patterns in specific phase regions
- Cascade detection: finds cascade-ready patterns
Analysis Functions
dormancy_trigger(): Identifies specific trigger conditions for activation
dormancy_depth(): Measures depth of dormancy (energy, stability, entropy methods)
dormancy_risk(): Quantifies activation risk and potential impact
dormancy_scout(): Maps data space for potential dormant regions
awaken(): Simulates pattern activation scenarios
hibernate(): Detects patterns that became dormant over time
Visualization
- Plot methods for dormancy objects
- Support for overview, pattern network, risk, and timeline views
Performance
- Rcpp implementations for core algorithms
- Fast rolling correlation computation
- Efficient conditional correlation calculation
- Optimized entropy and mutual information estimation
Documentation
- Comprehensive vignette introducing the package
- Full roxygen2 documentation
- Examples for all major functions
Testing
- Complete test suite with testthat
- Coverage for all exported functions