Installing bupaR

The easiest way to install the core bupaR packages is by installing the bupaverse-package.

install.packages("bupaverse")

You can then load the packages using library().

library(bupaverse)

This allows you to use bupaR, eventdataR, edeaR, processcheckR, and processmapR.

The following packages can be installed from CRAN individually using install.packages().

  • daqapo
  • heuristicsmineR
  • petrinetR
  • pm4py
  • processanimateR
  • processpredictR
  • psmineR
  • understandBPMN
  • xesreadR

Dev-versions of these packages can be installed from GitHub using remotes::install_github().

In the same way, the following experimental packages can be installed.

  • collaborateR
  • bpmnR
  • propro

Additional requirements

processpredictR

Using the processpredictR package requires a Python installation on your machine. Check the Tensorflow documentation to get started. Once tensorflow and keras are installed, processpredictR will be ready to be used.

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