Discovery of Process Models with the Heuristics Miner
Overview
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.
Install
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CRAN check results are not tracked yet.
Documentation
- Help pages
- 23 (1 internal)
- Examples that run
- 100%16 run in a plain check
- Exported functions with examples
- 94%
- Documented parameters
- 92%
- Return-value docs
- 44%
- Help pages citing references
- 22%
Downloads
Dependencies
Code & Tests
Datasets
People & History
Pick two releases to compare their code metrics.
- RR 4.6.0 released · 2026-04-24
- archivedRemoved from CRAN2025-12-29email to the maintainer is undeliverable
- RR 4.5.0 released · 2025-04-11
- RR 4.4.0 released · 2024-04-24
- RR 4.3.0 released · 2023-04-21
- 0.3.02023-04-04 · diff ↗
- 0.2.72022-07-21 · diff ↗
- 0.2.62022-07-14 · diff ↗
- RR 4.2.0 released · 2022-04-22
- unarchivedReturned to CRAN2021-10-11
- 0.2.52021-10-11 · diff ↗
- archivedRemoved from CRAN2021-10-06email to the maintainer was undeliverable
- RR 4.1.0 released · 2021-05-18
- RR 4.0.0 released · 2020-04-24
- 0.2.42020-03-29 · diff ↗
- 0.2.32020-03-19 · diff ↗
Package metadata
- First published
- 2019-05-02
- Total releases
- 9 / 7 yrs
- License
- MIT + file LICENSE OSI
- Minimum R
- ≥ 2.10
- Bundled data
- 657 KB / 3 files
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