LPGraph
2.1Nonparametric Smoothing of Laplacian Graph Spectra
Overview
A nonparametric method to approximate Laplacian graph spectra of a network with ordered vertices. This provides a computationally efficient algorithm for obtaining an accurate and smooth estimate of the graph Laplacian basis. The approximation results can then be used for tasks like change point detection, k-sample testing, and so on. The primary reference is Mukhopadhyay, S. and Wang, K. (2018, Technical Report).
Install
Health
CRAN check results are not tracked yet.
- NOTE2026-06-0911 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- ERROR2026-06-0811 OK · 1 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
- NOTE2026-03-1012 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Documentation
- Examples that run
- 100%
- Documented parameters
- not tracked
- Return-value docs
- not tracked
- References docs
- 100%
Downloads
Dependencies
Nothing depends on this yet.
Code & Tests
People & History
3 releases. Pick two to compare their code metrics. R releases are shown for context.
- archivedRemoved from CRAN2026-06-11email to the maintainer is undeliverable
- RR 4.6.0 released · 2026-04-24
- RR 4.5.0 released · 2025-04-11
- RR 4.4.0 released · 2024-04-24
- RR 4.3.0 released · 2023-04-21
- RR 4.2.0 released · 2022-04-22
- RR 4.1.0 released · 2021-05-18
- RR 4.0.0 released · 2020-04-24
- 2.12020-01-30 · diff ↗
- RR 3.6.0 released · 2019-04-26
- 2.02018-05-13 · diff ↗
- RR 3.5.0 released · 2018-04-23
- 1.02018-04-09
- RR 3.4.0 released · 2017-04-21
Package metadata
- Total releases
- 3
- License
- GPL-2 OSI
- Minimum R
- ≥ 3.5.0
- Bundled data
- 38 KB / 1 file
- Download size
- 47 KB
- Installed size
- not tracked yet
- With dependencies
- not tracked yet
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Run in R for the authors' preferred citation:
citation("LPGraph")This is what citation() produces when a package has no citation file of its own. If it prints something else, use that.
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