ravepipeline
0.1.0Reproducible Pipeline Infrastructure for Neuroscience
Overview
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.
Install
Health
- OK2026-03-2114 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- ERROR2026-03-1613 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
- OK2026-03-1014 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Downloads
Dependencies
Code & Tests
Test coverage
Line coverage
–
Expression
–
Tests / Examples
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Functions
281 82 exported
Complexity
5.2 avg / 34 max
Call network
281 nodes / 400 edges
Test coverage has not been measured for this package yet; nodes fall back to a neutral fill.
Call graph
Open call graph →Lowest coverage
Per-function coverage is not measured for this package yet.
People & History
3 releases. Pick two to compare their code metrics; R releases are shown for context.
- 0.1.0Latest2026-05-30 · current release
- RR 4.6.0 released · 2026-04-24
- 0.0.32025-09-10 · diff ↗
- RR 4.5.0 released · 2025-04-11
- 0.0.12025-03-13
Package metadata
- First published
- 2025-03-13
- Total releases
- 3 / 1 yrs
- License
- MIT + file LICENSE OSI
- Download size
- not tracked yet
- Installed size
- not tracked yet
- With dependencies
- not tracked yet