bupaverse Package

The bupaverse is a collection of packages that can be conveniently installed from CRAN using a single R command:

install.packages("bupaverse")

This will install the “core” packages that are required to start with business process analytics in R. Currently, the “core” contains the following packages:

• bupaR: Core package for business process analysis.
• edeaR: Exploratory and descriptive analysis of event-based data.
• eventdataR: Repository of sample process data.
• processcheckR: Rule-based conformance checking and filtering.
• processmapR: Visualise event-based data using, i.a., process maps.

To start using these packages, you can load them all using a single R command:

library(bupaverse)
#> 
#> .______    __    __  .______      ___   ____    ____  _______ .______          _______. _______
#> |   _  \  |  |  |  | |   _  \    /   \  \   \  /   / |   ____||   _  \        /       ||   ____|
#> |  |_)  | |  |  |  | |  |_)  |  /  ^  \  \   \/   /  |  |__   |  |_)  |      |   (----`|  |__
#> |   _  <  |  |  |  | |   ___/  /  /_\  \  \      /   |   __|  |      /        \   \    |   __|
#> |  |_)  | |  `--'  | |  |     /  _____  \  \    /    |  |____ |  |\  \----.----)   |   |  |____
#> |______/   \______/  | _|    /__/     \__\  \__/     |_______|| _| `._____|_______/    |_______|
#>                                                                                                 
#> -- Attaching packages --------------------------------------- bupaverse 0.1.0 --
#> v bupaR         0.5.2     v processcheckR 0.2.0
#> v edeaR         0.9.1     v processmapR   0.5.2
#> v eventdataR    0.3.1     
#> -- Conflicts ------------------------------------------ bupaverse_conflicts() --
#> x bupaR::filter()          masks stats::filter()
#> x processmapR::frequency() masks stats::frequency()
#> x edeaR::setdiff()         masks base::setdiff()
#> x bupaR::timestamp()       masks utils::timestamp()
#> x processcheckR::xor()     masks base::xor()

In addition to attaching the “core” packages, this command also reports which package versions were loaded and conflicts with previously loaded packages.

install.packages("bupaverse") also installs “non-core” packages which are required for bupaverse to function. The “non-core” packages include: cli (Csárdi 2022), glue (Hester and Bryan 2022), magrittr (Bache and Wickham 2022), purrr (Henry and Wickham 2022a), and rlang (Henry and Wickham 2022b). Note that these packages are not attached by library(bupaverse).

Example

After the package has been loaded, you can start analysing process data, e.g., you can analyse and plot the processing time for each activity in the sample dataset eventdataR::patients. Learn more about bupaverse at the bupaR.net homepage.

patients %>%
  processing_time(level = "activity") %>%
  plot()

Acknowledgements

The bupaverse development team would like to warmly thank all users who are actively contributing to the bupaverse framework by submitting issues and pull requests on the GitHub repositories.