Changes in version 0.1.0 (2026-03-16)                  

  - 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