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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 "mr.simss" in publications use:'
type: software
license: MIT
title: 'mr.simss: MR-SimSS: Mendelian Randomisation (MR) method that combats Winner''s
  Curse using a simulated sample splitting approach'
version: 0.1.0
doi: 10.32614/CRAN.package.mr.simss
abstract: Designed to provide users with a method, namely MR-SimSS, which uses simulated
  sample splitting in order to alleviate Winner's Curse bias in MR causal effect estimates.
  This approach also takes into account sample overlap between the exposure and outcome
  genome-wide association studies. It uses summary statistics from genome-wide association
  studies and works in combination with existing MR methods, such as IVW and MR-RAPS.
authors:
- family-names: Forde
  given-names: Amanda
  email: amanda.forde@universityofgalway.ie
  orcid: https://orcid.org/0000-0002-7940-3413
repository: https://mrcieu.r-universe.dev
repository-code: https://github.com/amandaforde/mr.simss
commit: 27d81e0378372cd62ddef45272c4ccdb82c88072
url: https://github.com/amandaforde/mr.simss
contact:
- family-names: Forde
  given-names: Amanda
  email: amanda.forde@universityofgalway.ie
  orcid: https://orcid.org/0000-0002-7940-3413