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LPGraph  

Nonparametric Smoothing of Laplacian Graph Spectra
View on CRAN: Click here


Download and install LPGraph package within the R console
Install from CRAN:
install.packages("LPGraph")

Install from Github:
library("remotes")
install_github("cran/LPGraph")

Install by package version:
library("remotes")
install_version("LPGraph", "2.1")



Attach the package and use:
library("LPGraph")
Maintained by
Kaijun Wang
[Scholar Profile | Author Map]
First Published: 2018-04-09
Latest Update: 2020-01-30
Description:
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).
How to cite:
Kaijun Wang (2018). LPGraph: Nonparametric Smoothing of Laplacian Graph Spectra. R package version 2.1, https://cran.r-project.org/web/packages/LPGraph. Accessed 09 Apr. 2025.
Previous versions and publish date:
1.0 (2018-04-09 16:46), 2.0 (2018-05-13 05:04)
Other packages that cited LPGraph R package
View LPGraph citation profile
Other R packages that LPGraph depends, imports, suggests or enhances
Complete documentation for LPGraph
Functions, R codes and Examples using the LPGraph R package
Some associated functions: LP.basis . LP.struct.test . LPGraph-package . LPSpectral . senate . 
Some associated R codes: LP.basis.R . LP.struct.test.R . LPSpectral.R . Laplacian.R . wt.mean.R .  Full LPGraph package functions and examples
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