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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.

Versions across snapshots

VersionRepositoryFileSize
0.0.3 rolling linux/jammy R-4.5 ravepipeline_0.0.3.tar.gz 799.2 KiB
0.0.3 rolling linux/noble R-4.5 ravepipeline_0.0.3.tar.gz 798.8 KiB
0.0.3 rolling source/ R- ravepipeline_0.0.3.tar.gz 154.5 KiB
0.0.3 latest linux/jammy R-4.5 ravepipeline_0.0.3.tar.gz 799.2 KiB
0.0.3 latest linux/noble R-4.5 ravepipeline_0.0.3.tar.gz 798.8 KiB
0.0.3 latest source/ R- ravepipeline_0.0.3.tar.gz 154.5 KiB
0.0.3 2026-04-26 source/ R- ravepipeline_0.0.3.tar.gz 154.5 KiB
0.0.3 2026-04-23 source/ R- ravepipeline_0.0.3.tar.gz 154.5 KiB
0.0.3 2026-04-09 windows/windows R-4.5 ravepipeline_0.0.3.zip 832.8 KiB
0.0.1 2025-04-20 source/ R- ravepipeline_0.0.1.tar.gz 115.1 KiB

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