dormancy-package: dormancy: Detection and Analysis of Dormant Patterns in Data

In dormancy: Detection and Analysis of Dormant Patterns in Data

dormancy: Detection and Analysis of Dormant Patterns in Data

Description

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.

Author(s)

Maintainer: Dany Mukesha [e-mail] (ORCID)

See Also

Useful links:

• https://github.com/danymukesha/dormancy/

• https://danymukesha.github.io/dormancy/

• Report bugs at https://github.com/danymukesha/dormancy/issues/

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