bupaR, processmapR (>= 0.3.1), rlang, magrittr, dplyr, tidyr,
htmlwidgets, DiagrammeR (>= 1.0.0), grDevices, stringr

bupaR, processmapR (>= 0.3.1), rlang, magrittr, dplyr, tidyr,
htmlwidgets, DiagrammeR (>= 1.0.0), grDevices, stringr,
htmltools

c(person("Felix","Mannhardt", email = "f.mannhardt@tue.nl", role = c("aut","cre")),
person("Gert","Janssenswillen",email = "gert.janssenswillen@uhasselt.be", role = c("ctb")))

Rule-Based Conformance Checking of Business Process Event Data
Check compliance of event data from (business) processes with respect to specified rules. Rules supported are of three types: frequency (activities that should (not) happen x number of times), order (succession between activities) and exclusiveness (and and exclusive choice between activities).
dplyr, bupaR, rlang, edeaR, stringr, glue

Check compliance of event-data from (business) processes with respect to specified rules. Rules supported are of three types: frequency (activities that should (not) happen x number of times), order (succession between activities) and exclusiveness (and and exclusive choice between activities).

c(person("Gert", "Janssenswillen", email = "gert.janssenswillen@uhasselt.be", role = c("aut","cre")),
person("Gerard", "van Hulzen", email = "gerard.vanhulzen@uhasselt.be", role = c("ctb")))
dplyr, bupaR (>= 0.5.1), rlang, edeaR (>= 0.9.0), stringr,
stringi, glue, lifecycle, tidyr
knitr, rmarkdown, eventdataR, covr, compare, testthat (>=
3.0.0)
Gert Janssenswillen [aut, cre],
Gerard van Hulzen [ctb]

person(given = "Peter", family = "P. Lupo", role = c("aut", "cre"), email = "pplupo@gmail.com")
Generate time series chart for individual values with mean and +/-
3 standard deviation lines and the corresponding mR chart with the upper control
limit. Also execute the 8 Shewhart stability run tests and display the violations.

This package implements data structures for stochastic
processes, which consists of either discretely observed
continuous time processes, marked point processes or a
combination.