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dormancy  

Detection and Analysis of Dormant Patterns in Data
View on CRAN: Click here


Download and install dormancy package within the R console
Install from CRAN:
install.packages("dormancy")

Install from Github:
library("remotes")
install_github("cran/dormancy")

Install by package version:
library("remotes")
install_version("dormancy", "0.1.0")



Attach the package and use:
library("dormancy")
Maintained by
Dany Mukesha
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2026-03-16
Latest Update: 2026-03-16
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.
How to cite:
Dany Mukesha (2026). dormancy: Detection and Analysis of Dormant Patterns in Data. R package version 0.1.0, https://cran.r-project.org/web/packages/dormancy. Accessed 05 Oct. 2026.
Previous versions and publish date:
No previous versions
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Complete documentation for dormancy
Functions, R codes and Examples using the dormancy R package
Full dormancy package functions and examples
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