SNSeg
1.0.3Self-Normalization(SN) Based Change-Point Estimation for Time Series
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Overview
About
Implementations self-normalization (SN) based algorithms for change-points estimation in time series data. This comprises nested local-window algorithms for detecting changes in both univariate and multivariate time series developed in Zhao, Jiang and Shao (2022) doi:10.1111/rssb.12552.
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CRAN checks
1NOTE12OK
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- NOTE r-devel-linux-x86_64-debian-gcc
Slowest check: 2.5 min · r-oldrel-windows-x86_64
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None
Tests · ratio 0.00
not tracked
Coverage
100%
Documentation · exports
5
Dependencies · direct
Check history
- NOTE2026-08-0112 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- OK2026-04-2214 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- ERROR2026-04-1813 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
- OK2026-03-1014 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Documentation
Documentation
READMENoVignettesYes · dynamicpkgdown siteNoNEWSNoCode of conductNoContributing guideNo
- Examples that run
- 18%
- Documented parameters
- 100%
- Return-value docs
- 100%
- References docs
- 0%
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Dependencies
Declared dependencies
5 external dependencies (excludes base and recommended)
Depends (4)
R >= 3.5.0statsutilsgraphics
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none
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Package metadata
- First published
- 2023-07-06
- Total releases
- 4 / 3 yrs
- License
- GPL (>= 3) OSI
- Minimum R
- ≥ 3.5.0
- Bundled data
- 6.1 KB / 3 files
- Download size
- 74 KB
- Installed size
- not tracked yet
- With dependencies
- not tracked yet