Package: LPGraph
Type: Package
Title: Nonparametric Smoothing of Laplacian Graph Spectra
Version: 2.1
Date: 2020-01-29
Author: Subhadeep Mukhopadhyay, Kaijun Wang
Maintainer: Kaijun Wang <kaijun.wang@temple.edu>
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).
Depends: R (>= 3.5.0), stats, car, PMA
License: GPL-2
NeedsCompilation: no
Packaged: 2020-01-30 05:34:33 UTC; AquinasUnit
Repository: CRAN
Date/Publication: 2020-01-30 20:20:02 UTC
Built: R 4.6.0; ; 2026-04-25 14:04:46 UTC; unix
