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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 "swfdr" in publications use:'
type: software
license: GPL-3.0-or-later
title: 'swfdr: Estimation of the science-wise false discovery rate and the false discovery
  rate conditional on covariates'
version: 1.31.0
abstract: This package allows users to estimate the science-wise false discovery rate
  from Jager and Leek, "Empirical estimates suggest most published medical research
  is true," 2013, Biostatistics, using an EM approach due to the presence of rounding
  and censoring. It also allows users to estimate the false discovery rate conditional
  on covariates, using a regression framework, as per Boca and Leek, "A direct approach
  to estimating false discovery rates conditional on covariates," 2018, PeerJ.
authors:
- family-names: Leek
  given-names: Jeffrey T.
  email: smb310@georgetown.edu
- family-names: Boca
  given-names: Simina M.
  email: jtleek@gmail.com
- family-names: Jager
  given-names: Leah
- family-names: Konopka
  given-names: Tomasz
repository: https://bioc.r-universe.dev
repository-code: https://github.com/leekgroup/swfdr
url: https://github.com/leekgroup/swfdr
contact:
- family-names: Leek
  given-names: Jeffrey T.
  email: smb310@georgetown.edu
- family-names: Boca
  given-names: Simina M.
  email: jtleek@gmail.com