heuristicsmineR: Discovery of Process Models with the Heuristics Miner

Provides the heuristics miner algorithm for process discovery as proposed by Weijters et al. (2011) <doi:10.1109/CIDM.2011.5949453>. The algorithm builds a causal net from an event log created with the 'bupaR' package. Event logs are a set of ordered sequences of events for which 'bupaR' provides the S3 class eventlog(). The discovered causal nets can be visualised as 'htmlwidgets' and it is possible to annotate them with the occurrence frequency or processing and waiting time of process activities.

Version: 0.3.0
Depends: R (≥ 2.10)
Imports: bupaR, processmapR (≥ 0.3.1), rlang, magrittr, dplyr, tidyr, DiagrammeR (≥ 1.0.0), petrinetR (≥ 0.3.0), purrr, scales, Rcpp, ggplot2, ggthemes, data.table, stringr
LinkingTo: Rcpp, BH
Suggests: eventdataR, svgPanZoom, DiagrammeRsvg
Published: 2023-04-04
Author: Felix Mannhardt [aut, cre], Gert Janssenswillen [ctb]
Maintainer: Felix Mannhardt <f.mannhardt at tue.nl>
BugReports: https://github.com/bupaverse/heuristicsmineR/issues
License: MIT + file LICENSE
URL: https://github.com/bupaverse/heuristicsmineR
NeedsCompilation: yes
SystemRequirements: C++
Materials: README NEWS
CRAN checks: heuristicsmineR results

Documentation:

Reference manual: heuristicsmineR.pdf

Downloads:

Package source: heuristicsmineR_0.3.0.tar.gz
Windows binaries: r-devel: heuristicsmineR_0.3.0.zip, r-release: heuristicsmineR_0.3.0.zip, r-oldrel: heuristicsmineR_0.3.0.zip
macOS binaries: r-release (arm64): heuristicsmineR_0.3.0.tgz, r-oldrel (arm64): heuristicsmineR_0.3.0.tgz, r-release (x86_64): heuristicsmineR_0.3.0.tgz
Old sources: heuristicsmineR archive

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