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pipeR: Multi-Paradigm Pipeline Implementation

Provides various styles of function chaining methods: Pipe operator, Pipe object, and pipeline function, each representing a distinct pipeline model yet sharing almost a common set of features: A value can be piped to the first unnamed argument of a function and to dot symbol in an enclosed expression. The syntax is designed to make the pipeline more readable and friendly to a wide range of operations.

Version: 0.6.1.3
Depends: R (≥ 2.15)
Suggests: testthat
Published: 2016-04-04
DOI: 10.32614/CRAN.package.pipeR
Author: Kun Ren
Maintainer: Kun Ren <ken at renkun.me>
BugReports: https://github.com/renkun-ken/pipeR/issues
License: MIT + file LICENSE
URL: https://renkun.me/pipeR, https://github.com/renkun-ken/pipeR, https://renkun.me/pipeR-tutorial
NeedsCompilation: no
Materials: README NEWS
CRAN checks: pipeR results

Documentation:

Reference manual: pipeR.pdf

Downloads:

Package source: pipeR_0.6.1.3.tar.gz
Windows binaries: r-devel: pipeR_0.6.1.3.zip, r-release: pipeR_0.6.1.3.zip, r-oldrel: pipeR_0.6.1.3.zip
macOS binaries: r-release (arm64): pipeR_0.6.1.3.tgz, r-oldrel (arm64): pipeR_0.6.1.3.tgz, r-release (x86_64): pipeR_0.6.1.3.tgz, r-oldrel (x86_64): pipeR_0.6.1.3.tgz
Old sources: pipeR archive

Reverse dependencies:

Reverse imports: cft, getLattes, milr, opera, rAmCharts, RDML
Reverse suggests: backpipe, regexPipes, sunburstR

Linking:

Please use the canonical form https://CRAN.R-project.org/package=pipeR to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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