lookout
2.0.2Leave One Out Kernel Density Estimates for Outlier Detection
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5.7Kdownloads / year
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Overview
About
Outlier detection using leave-one-out kernel density estimates and extreme value theory. The bandwidth for kernel density estimates is computed using persistent homology, a technique in topological data analysis. Using peak-over-threshold method, a generalized Pareto distribution is fitted to the log of leave-one-out kde values to identify outliers.
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3ERROR10OK
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- ERROR r-devel-linux-x86_64-debian-clang
- ERROR r-oldrel-windows-x86_64
- ERROR r-release-linux-x86_64
Slowest check: 2.8 min · r-oldrel-macos-x86_64
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- ERROR2026-07-1711 OK · 0 NOTE · 0 WARNING · 2 ERROR · 0 FAILURE
- OK2026-03-1014 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
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lookout
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39830 days
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Also on186 r2u47 autocran
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3Contributors
108 commits · Last activity 2026-07-21 · 0% stars, 30d
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Checks run against github.com/sevvandi/lookout on 2026-07-19.
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cran-comments.md
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Contributor · added in 0.1.3
Package Timeline
7 releases. R releases are shown for context.
- 2.0.2Latest
- RR 4.6.0 released · 2026-04-24
- 2.0.12026-03-26 · diff ↗
- 2.0.02026-01-19 · diff ↗
- RR 4.5.0 released · 2025-04-11
- RR 4.4.0 released · 2024-04-24
- RR 4.3.0 released · 2023-04-21
- 0.1.42022-10-14 · diff ↗
- 0.1.32022-09-30 · diff ↗
- 0.1.22022-08-26 · diff ↗
- RR 4.2.0 released · 2022-04-22
- RR 4.1.0 released · 2021-05-18
- 0.1.02021-02-12
- RR 4.0.0 released · 2020-04-24
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Package metadata
- First published
- 2021-02-12
- Total releases
- 7 / 5 yrs
- License
- GPL-3 OSI
- Download size
- 91 KB
- Installed size
- not tracked yet
- With dependencies
- not tracked yet
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