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ravepipeline: Reproducible Pipeline Infrastructure for Neuroscience

Defines the underlying pipeline structure for reproducible neuroscience, adopted by 'RAVE' (reproducible analysis and visualization of intracranial electroencephalography); provides high-level class definition to build, compile, set, execute, and share analysis pipelines. Both R and 'Python' are supported, with 'Markdown' and 'shiny' dashboard templates for extending and building customized pipelines. See the full documentations at <https://rave.wiki>; to cite us, check out our paper by Magnotti, Wang, and Beauchamp (2020, <doi:10.1016/j.neuroimage.2020.117341>), or run citation("ravepipeline") for details.

Version:0.0.3
Imports:utils, stats,base64enc,callr,cli,digest,fastmap,future,fst (≥ 0.9.8),glue,jsonlite,knitr,promises,R6,remotes,rlang,targets,uuid,yaml,logger
Suggests:dipsaus,filearray,future.apply,globals,ieegio,rpymat,rmarkdown,rstudioapi,shidashi,threeBrain,testthat (≥3.0.0),visNetwork,later,shiny,mirai,distill
Published:2025-09-10
DOI:10.32614/CRAN.package.ravepipeline
Author:Zhengjia Wang [aut, cre, cph], John Magnotti [ctb, res], Xiang Zhang [ctb, res], Michael Beauchamp [ctb, res], Trustees of University of Pennsylvania [cph] (Copyright Holder)
Maintainer:Zhengjia Wang <dipterix.wang at gmail.com>
BugReports:https://github.com/dipterix/ravepipeline/issues
License:MIT + fileLICENSE
Copyright:Trustees of University of Pennsylvania owns the copyright ofthe package unless otherwise stated. Zhengjia Wang owns thecopyright of all the low-level functions included in'R/common.R', 'R/fastmap2', 'R/fastqueue2.R', 'R/filesys.R','R/fst.R', 'R/json.R', 'R/os_info.R', 'R/parallel.R','R/progress.R', 'R/simplelocker.R', 'R/yaml.R', and all thetemplate files under 'inst/rave-pipelines' and'inst/rave-modules', these files are licensed under 'MIT'.
URL:https://dipterix.org/ravepipeline/,https://rave.wiki
NeedsCompilation:no
Language:en-US
Citation:ravepipeline citation info
Materials:README,NEWS
CRAN checks:ravepipeline results

Documentation:

Reference manual:ravepipeline.html ,ravepipeline.pdf

Downloads:

Package source: ravepipeline_0.0.3.tar.gz
Windows binaries: r-devel:ravepipeline_0.0.3.zip, r-release:ravepipeline_0.0.3.zip, r-oldrel:ravepipeline_0.0.3.zip
macOS binaries: r-release (arm64):ravepipeline_0.0.3.tgz, r-oldrel (arm64):ravepipeline_0.0.3.tgz, r-release (x86_64):ravepipeline_0.0.3.tgz, r-oldrel (x86_64):ravepipeline_0.0.3.tgz
Old sources: ravepipeline archive

Reverse dependencies:

Reverse imports:ravecore

Linking:

Please use the canonical formhttps://CRAN.R-project.org/package=ravepipelineto link to this page.


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