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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

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.