Sequential Change-Point Detection via Nonparametric Inference
Overview
Detects change points in long univariate time series using the SCAN framework. The implementation uses a native Rust backend exposed to R via 'extendr'.
Install
Health
- OK13 OKNow
- OK8 OK2026-08-22
- ERROR2 OK, 4 ERROR2026-08-21
Documentation
- Help pages
- 19
- Examples that run
- 100%8 run in a plain check
- Exported functions with examples
- 44%
- Documented parameters
- 100%
- Return-value docs
- 100%
- Help pages citing references
- 0%
Downloads
Repository
- PRs merged (all time)
- not measured
- Median days to close, 50 most recently updated closed issues
- 40
- Median days to close, 50 most recently updated closed PRs
- not measured
Releases over time
Issues over time
3 development-tooling and community-health practices detected across 2 families in the upstream repository
Checks run against github.com/prabashoka/scanr on 2026-10-11.
The R CMD check workflow runs on Linux and macOS
Dependencies
Code & Tests
Datasets
People & History
Pick two releases to compare their code metrics.
- 0.1.1Latest
- 0.1.02026-08-20
- RR 4.6.0 released · 2026-04-24
Package metadata
- First published
- 2026-08-20
- Total releases
- 2 / 1 yrs
- License
- GPL-3 OSI
- Download size
- 4.3 MB
Cite
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Run in R for the authors' preferred citation:
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