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oRus  

Operational Research User Stories
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("oRus", "1.0.0")



Attach the package and use:
library("oRus")
Maintained by
Melina Vidoni
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-07-07
Latest Update: 2020-07-07
Description:
A first implementation of automated parsing of user stories, when used to defined functional requirements for operational research mathematical models. It allows reading user stories, splitting them on the who-what-why template, and classifying them according to the parts of the mathematical model that they represent. Also provides semantic grouping of stories, for project management purposes.
How to cite:
Melina Vidoni (2020). oRus: Operational Research User Stories. R package version 1.0.0, https://cran.r-project.org/web/packages/oRus. Accessed 26 Aug. 2026.
Previous versions and publish date:
(2026-07-09 06:36), 1.0.0 (2020-07-07 11:20)
Other packages that cited oRus R package
View oRus citation profile
Other R packages that oRus depends, imports, suggests or enhances
Complete documentation for oRus
Functions, R codes and Examples using the oRus R package
Some associated functions: analyseStories . createIgnoreWords . example_stories . oRus . readStories . reportStories . 
Some associated R codes: analyseStories.R . createIgnoreWords.R . example_stories.R . groupStories.R . oRus.R . processStories.R . readKeywords.R . readStories.R . relateStories.R . reportStories.R .  Full oRus package functions and examples
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