Nothing
LPGraph: Nonparametric Smoothing of Laplacian Graph Spectra
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).
Getting started
Browse package contents
Package details |
|
|---|---|
| Author | Subhadeep Mukhopadhyay, Kaijun Wang |
| Maintainer | Kaijun Wang <kaijun.wang@temple.edu> |
| License | GPL-2 |
| Version | 2.1 |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
|
Try the LPGraph package in your browser
Any scripts or data that you put into this service are public.
