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processpredictR

0.1.1

Process Prediction

0packages depend
6.4Kdownloads / year
test coverage
13/13checks pass

Overview

About
Maintained by Gert JanssenswillenFirst published 2023-01-172 releasesCRAN page ↗

Means to predict process flow, such as process outcome, next activity, next time, remaining time, and remaining trace. Off-the-shelf predictive models based on the concept of Transformers are provided, as well as multiple way to customize the models. This package is partly based on work described in Zaharah A. Bukhsh, Aaqib Saeed, & Remco M. Dijkman. (2021). "ProcessTransformer: Predictive Business Process Monitoring with Transformer Network" doi:10.48550/arXiv.2104.00721.

Install

Health

CRAN checks
13OK
Slowest check: 3.3 min · r-oldrel-windows-x86_64
Code health
None
Tests · ratio 0.00
not tracked
Coverage
93%
Documentation · exports
20
Dependencies · direct
Check history
  • OK2026-08-05
    13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • NOTE2026-08-01
    12 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • OK2026-06-09
    13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • ERROR2026-06-08
    12 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
  • OK2026-03-10
    14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

Documentation
READMEYes · 54 wordsVignettesYes · dynamicpkgdown siteNoNEWSNoCode of conductNoContributing guideNo
Examples that run
100%
Documented parameters
100%
Return-value docs
91%
References docs
0%

Downloads

6.4K
CRAN downloads in the past year
Rank #7,989 · ~18/day · ~535/mo
Daily download trend is not available in this view yet.
21530 days
1.1K90 days
6.4K1 year
Compare downloads with other packages →
Also on112 r2u20 autocran

Dependencies

Declared dependencies
23 external dependencies (excludes base and recommended)
Depends (1)
R >= 2.10
LinkingTo (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Code & Tests

People & History

People (3)
Maintainer (1)
Authors (1)
Author
Copyright holders (1)
Copyright holder
Package Timeline

2 releases. Pick two to compare their code metrics. R releases are shown for context.

  • R
    R 4.6.0 released · 2026-04-24
  • 0.1.1Latest
    2025-09-15 · current release · diff ↗
  • R
    R 4.5.0 released · 2025-04-11
  • R
    R 4.4.0 released · 2024-04-24
  • R
    R 4.3.0 released · 2023-04-21
  • 0.1.0
    2023-01-17
  • R
    R 4.2.0 released · 2022-04-22

Package metadata

First published
2023-01-17
Total releases
2 / 3 yrs
License
MIT + file LICENSE OSI
Minimum R
≥ 2.10
Download size
121 KB
Installed size
not tracked yet
With dependencies
not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("processpredictR")
Janssenswillen, G., Hasselt University, & Esin, I. (2025). processpredictR: Process Prediction (Version 0.1.1) [Computer software]. https://doi.org/10.32614/CRAN.package.processpredictR

This is what citation() produces when a package has no citation file of its own. If it prints something else, use that.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for processpredictR version 0.1.1 [Data set]. HJJB, LLC. Data release v2026-08-22. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-22, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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