NEWS.md

In dormancy: Detection and Analysis of Dormant Patterns in Data

dormancy 0.1.0

• Initial CRAN release.

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

dormancy documentation built on March 16, 2026, 5:09 p.m.