pipeflow: Implement Data Analysis Workflows with Pipelines

A lightweight yet powerful framework for creating data analysis pipelines. You build your pipelines simply by defining a sequence of R functions and 'pipeflow' takes care of tracking dependencies among steps and managing all the analysis parameters. The framework is easy to get started with for the typical R user, but also provides advanced features to enable complex workflows.

Version: 0.1.1
Imports: data.table, jsonlite, lgr, methods, R6, stats, utils
Suggests: ggplot2, knitr, mockery, rmarkdown, testthat, visNetwork
Published: 2024-12-02
DOI: 10.32614/CRAN.package.pipeflow
Author: Roman Pahl [aut, cre]
Maintainer: Roman Pahl <roman.pahl at gmail.com>
License: GPL-3
NeedsCompilation: no
Language: en-US
CRAN checks: pipeflow results

Documentation:

Reference manual: pipeflow.pdf
Vignettes: Collecting output (source, R code)
Combining pipelines (source, R code)
Get started with pipeflow (source, R code)
Modifying existing pipelines (source, R code)
Advanced: How pipelines can modify themselves at runtime (source, R code)
Advanced: How to use pipeflow with split data sets (source, R code)

Downloads:

Package source: pipeflow_0.1.1.tar.gz
Windows binaries: r-devel: pipeflow_0.1.1.zip, r-release: pipeflow_0.1.1.zip, r-oldrel: pipeflow_0.1.1.zip
macOS binaries: r-release (arm64): not available, r-oldrel (arm64): not available, r-release (x86_64): pipeflow_0.1.1.tgz, r-oldrel (x86_64): pipeflow_0.1.1.tgz

Linking:

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