A lightweight yet powerful framework for building robust data analysis pipelines. With 'pipeflow', you initialize a pipeline with your dataset and construct workflows step by step by adding R functions. You can modify, remove, or insert steps and parameters at any stage, while 'pipeflow' ensures the pipeline's integrity. Overall, this package offers a beginner-friendly framework that simplifies and streamlines the development of data analysis pipelines by making them modular, intuitive, and adaptable.
| Version: | 0.2.3 |
| Depends: | R (≥ 4.2.0) |
| Imports: | data.table, jsonlite, lgr, methods, R6, stats, utils |
| Suggests: | ggplot2, knitr, mockery, rmarkdown, testthat, visNetwork |
| Published: | 2025-07-26 |
| DOI: | 10.32614/CRAN.package.pipeflow |
| Author: | Roman Pahl [aut, cre] |
| Maintainer: | Roman Pahl <roman.pahl at gmail.com> |
| BugReports: | https://github.com/rpahl/pipeflow/issues |
| License: | GPL-3 |
| URL: | https://rpahl.github.io/pipeflow/, https://github.com/rpahl/pipeflow |
| NeedsCompilation: | no |
| Language: | en-US |
| Materials: | NEWS |
| In views: | ReproducibleResearch |
| CRAN checks: | pipeflow results |
| Package source: | pipeflow_0.2.3.tar.gz |
| Windows binaries: | r-devel: pipeflow_0.2.3.zip, r-release: pipeflow_0.2.3.zip, r-oldrel: pipeflow_0.2.3.zip |
| macOS binaries: | r-release (arm64): pipeflow_0.2.3.tgz, r-oldrel (arm64): pipeflow_0.2.3.tgz, r-release (x86_64): pipeflow_0.2.3.tgz, r-oldrel (x86_64): pipeflow_0.2.3.tgz |
| Old sources: | pipeflow archive |
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