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title: 'dormancy: Detection and Analysis of Dormant Patterns in Data'
version: 0.1.0
doi: 10.32614/CRAN.package.dormancy
abstract: A novel framework for detecting, quantifying, and analyzing dormant patterns
  in multivariate data. Dormant patterns are statistical relationships that exist
  in data but remain inactive until specific trigger conditions emerge. This concept,
  inspired by biological dormancy (seeds, pathogens) and geological phenomena (dormant
  faults), provides tools to identify latent risks, hidden correlations, and potential
  phase transitions in complex systems. The package introduces methods for quantifying
  dormancy depth, trigger sensitivity, and awakening risk - enabling analysts to discover
  patterns that conventional methods miss because they focus only on currently active
  relationships.
authors:
- family-names: Mukesha
  given-names: Dany
  email: danymukesha@gmail.com
  orcid: https://orcid.org/0009-0001-9514-751X
repository: https://danymukesha.r-universe.dev
repository-code: https://github.com/danymukesha/dormancy
commit: f3ecc1e248ec4ed2fdee3a6e622fc07c84429c6a
url: https://danymukesha.github.io/dormancy
date-released: '2026-03-04'
contact:
- family-names: Mukesha
  given-names: Dany
  email: danymukesha@gmail.com
  orcid: https://orcid.org/0009-0001-9514-751X