LPGraph v2.1


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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).

Functions in LPGraph

Name Description
LPSpectral Nonparametric smooth approximation of the Laplacian graph spectra
LPGraph-package LPGraph
senate Senate Vote Data
LP.basis Computes LP basis function of a discrete distribution
LP.struct.test Detection of structures in an ordered-network.
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Type Package
Date 2020-01-29
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

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