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ravepipeline  

Reproducible Pipeline Infrastructure for Neuroscience
View on CRAN: Click here


Download and install ravepipeline package within the R console
Install from CRAN:
install.packages("ravepipeline")

Install from Github:
library("remotes")
install_github("cran/ravepipeline")

Install by package version:
library("remotes")
install_version("ravepipeline", "0.0.1")



Attach the package and use:
library("ravepipeline")
Maintained by
Zhengjia Wang
[Scholar Profile | Author Map]
First Published: 2025-03-13
Latest Update: 2025-03-13
Description:
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.
How to cite:
Zhengjia Wang (2025). ravepipeline: Reproducible Pipeline Infrastructure for Neuroscience. R package version 0.0.1, https://cran.r-project.org/web/packages/ravepipeline. Accessed 07 Apr. 2025.
Previous versions and publish date:
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Complete documentation for ravepipeline
Functions, R codes and Examples using the ravepipeline R package
Full ravepipeline package functions and examples
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