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processpredictR  

Process Prediction
View on CRAN: Click here


Download and install processpredictR package within the R console
Install from CRAN:
install.packages("processpredictR")

Install from Github:
library("remotes")
install_github("cran/processpredictR")

Install by package version:
library("remotes")
install_version("processpredictR", "0.1.0")



Attach the package and use:
library("processpredictR")
Maintained by
Gert Janssenswillen
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2023-01-17
Latest Update: 2023-01-17
Description:
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 ways 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" .
How to cite:
Gert Janssenswillen (2023). processpredictR: Process Prediction. R package version 0.1.0, https://cran.r-project.org/web/packages/processpredictR. Accessed 07 Nov. 2024.
Previous versions and publish date:
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