dormancy: Detection and Analysis of Dormant Patterns in Data
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.
| Version: |
0.1.0 |
| Depends: |
R (≥ 4.0.0) |
| Imports: |
stats, utils, grDevices, graphics, Rcpp (≥ 1.0.0) |
| LinkingTo: |
Rcpp |
| Suggests: |
testthat (≥ 3.0.0), knitr, rmarkdown, ggplot2, covr |
| Published: |
2026-03-16 |
| DOI: |
10.32614/CRAN.package.dormancy (may not be active yet) |
| Author: |
Dany Mukesha 
[aut, cre] |
| Maintainer: |
Dany Mukesha <danymukesha at gmail.com> |
| BugReports: |
https://github.com/danymukesha/dormancy/issues/ |
| License: |
MIT + file LICENSE |
| URL: |
https://github.com/danymukesha/dormancy/,
https://danymukesha.github.io/dormancy/ |
| NeedsCompilation: |
yes |
| Materials: |
README, NEWS |
| CRAN checks: |
dormancy results |
Documentation:
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