A lightweight yet powerful framework for building robust data analysis pipelines. With 'pipeflow', you initialize a pipeline with your dataset and construct your workflow step by step by seamlessly adding R functions. Modify, remove, or insert steps at any stage while 'pipeflow' ensures the integrity and correctness of your pipeline. Designed to help you focus on the 'what' rather than the 'how', this package simplifies the implementation of complex workflows, making even large-scale data analysis projects manageable, adaptable, and reusable with ease.
Version: | 0.2.1 |
Imports: | data.table, jsonlite, lgr, methods, R6, stats, utils |
Suggests: | ggplot2, knitr, mockery, rmarkdown, testthat, visNetwork |
Published: | 2024-12-05 |
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 |
CRAN checks: | pipeflow results |
Package source: | pipeflow_0.2.1.tar.gz |
Windows binaries: | r-devel: pipeflow_0.2.1.zip, r-release: pipeflow_0.2.1.zip, r-oldrel: pipeflow_0.2.1.zip |
macOS binaries: | r-release (arm64): not available, r-oldrel (arm64): not available, r-release (x86_64): pipeflow_0.2.1.tgz, r-oldrel (x86_64): pipeflow_0.2.1.tgz |
Old sources: | pipeflow archive |
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