Package: pipeflow
Title: Lightweight, General-Purpose Data Analysis Pipelines
Version: 0.2.3
Authors@R: 
    person("Roman", "Pahl", , "roman.pahl@gmail.com", role = c("aut", "cre"))
Description: 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.
Depends: R (>= 4.2.0)
Imports: data.table, jsonlite, lgr, methods, R6, stats, utils
Suggests: ggplot2, knitr, mockery, rmarkdown, testthat, visNetwork
URL: https://rpahl.github.io/pipeflow/,
        https://github.com/rpahl/pipeflow
BugReports: https://github.com/rpahl/pipeflow/issues
VignetteBuilder: knitr
Config/testthat/edition: 3
Config/testthat/parallel: true
Encoding: UTF-8
Language: en-US
RoxygenNote: 7.3.2
NeedsCompilation: no
License: GPL-3
Maintainer: Roman Pahl <roman.pahl@gmail.com>
Packaged: 2025-07-26 18:25:36 UTC; Roman
Author: Roman Pahl [aut, cre]
Repository: CRAN
Date/Publication: 2025-07-26 18:40:02 UTC
Built: R 4.5.3; ; 2026-04-14 01:53:39 UTC; windows
