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: 0.2.2 Imports: data.table, jsonlite, lgr, methods, R6, stats, utils Suggests: ggplot2, knitr, mockery, rmarkdown, testthat, visNetwork Published: 2024-12-22 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 Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=pipeflow to link to this page.
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