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# CITATION file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
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cff-version: 1.2.0
message: 'To cite package "LPGraph" in publications use:'
type: software
license: GPL-2.0-only
title: 'LPGraph: Nonparametric Smoothing of Laplacian Graph Spectra'
version: '2.1'
doi: 10.32614/CRAN.package.LPGraph
abstract: 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).
authors:
- family-names: Wang
  given-names: Kaijun
  email: kaijun.wang@temple.edu
- family-names: Mukhopadhyay
  given-names: Subhadeep
repository: https://cranhaven.r-universe.dev
commit: 38d104e6ace38a1b820984e8c486f1aaf5ff3937
date-released: '2020-01-29'
contact:
- family-names: Wang
  given-names: Kaijun
  email: kaijun.wang@temple.edu