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
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:

Reference manual:	dormancy.html , dormancy.pdf
Vignettes:	Introduction to Dormancy: Detecting Hidden Patterns in Data (source, R code)

Downloads:

Package source:	dormancy_0.1.0.tar.gz
Windows binaries:	r-devel: dormancy_0.1.0.zip, r-release: dormancy_0.1.0.zip, r-oldrel: dormancy_0.1.0.zip
macOS binaries:	r-release (arm64): dormancy_0.1.0.tgz, r-oldrel (arm64): dormancy_0.1.0.tgz, r-release (x86_64): dormancy_0.1.0.tgz, r-oldrel (x86_64): dormancy_0.1.0.tgz

Linking:

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