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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 "LPRelevance" in publications use:'
type: software
license: GPL-2.0-only
title: 'LPRelevance: Relevance-Integrated Statistical Inference Engine'
version: '3.3'
doi: 10.32614/CRAN.package.LPRelevance
abstract: 'Provide methods to perform customized inference at individual level by
  taking contextual covariates into account. Three main functions are provided in
  this package: (i) LASER(): it generates specially-designed artificial relevant samples
  for a given case; (ii) g2l.proc(): computes customized fdr(z|x); and (iii) rEB.proc():
  performs empirical Bayes inference based on LASERs. The details can be found in
  Mukhopadhyay, S., and Wang, K (2021, <arXiv:2004.09588>).'
authors:
- family-names: Wang
  given-names: Kaijun
  email: kaijunwang.19@gmail.com
- family-names: Mukhopadhyay
  given-names: Subhadeep
repository: https://cranhaven.r-universe.dev
commit: 456c7a65d3190195a6c53436113b3244c799fb08
date-released: '2022-05-17'
contact:
- family-names: Wang
  given-names: Kaijun
  email: kaijunwang.19@gmail.com