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processpredictR needs mltools, which is past its CRAN deadline of Oct 12 to fix its check problems.

processpredictR

0.1.1Package record

Process Prediction

0packages depend
6.3Kdownloads / year
–test coverage
13/13flavors OK

Overview

About

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: 3.2 min · r-oldrel-windows-x86_64
Status changes
  • OK13 OK2026-08-05
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK13 OK2026-06-09
  • ERROR12 OK, 1 ERROR2026-06-08
  • OK14 OK2026-03-10
Advisories

none known

Documentation

In release 0.1.1
READMEYes · 54 wordsVignettesYes · 1 · dynamicNEWSNoCitation fileNoWebsitenot declared in DESCRIPTION
Help pages
19 (2 internal)includes a package overview page
Examples that run
100%5 run in a plain check
Exported functions with examples
42%
Documented parameters
100%
Return-value docs
91%
Help pages citing references
0%

Downloads

6.3K
CRAN downloads in the past year
Rank #9,798 · ~17/day · ~524/mo
Daily download trend is not available in this view yet.
41030 days
99990 days
6.3K1 year
Compare downloads with other packages →
Also on71 r2u8 autocran

Dependencies

Declared dependencies
23 external dependencies (excludes base and recommended)

Installing processpredictR adds 96 packages (47 with compiled code, 79 MB of source tarballs). Heaviest: stringi 11 MB, ggplot2 6.0 MB, data.table 5.7 MB.

Depends (1)
R >= 2.10
LinkingTo (0)
none
Enhances (0)
none
Dependencies facing archival

CRAN will archive these unless their check problems are fixed by the date shown. This package needs each one to install.

Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

People & History

People (3)
Maintainer since 0.1.0 (2023)
Author
Copyright holder
Releases (2)

Pick two releases to compare their code metrics.

  • R
    R 4.6.0 released · 2026-04-24
  • 0.1.1Latest
    record
    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
    record
    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

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 package has no citation file, so citation() returns this entry built from DESCRIPTION.

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 v2026-10-18. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-18, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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