# --------------------------------------------
# CITATION file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
# --------------------------------------------
 
cff-version: 1.2.0
message: 'To cite package "dataReporter" in publications use:'
type: software
license: GPL-2.0-only
title: 'dataReporter: Reproducible Data Screening Checks and Report of Possible Errors'
version: 1.0.4
doi: 10.18637/jss.v090.i06
identifiers:
- type: doi
  value: 10.32614/CRAN.package.dataReporter
abstract: 'Data screening is an important first step of any statistical analysis.
  ''dataReporter'' auto generates a customizable data report with a thorough summary
  of the checks and the results that a human can use to identify possible errors.
  It provides an extendable suite of test for common potential errors in a dataset.
  See Petersen AH, Ekstrøm CT (2019). "dataMaid: Your Assistant for Documenting Supervised
  Data Quality Screening in R." _Journal of Statistical Software_, *90*(6), 1-38 <https://doi.org/10.18637/jss.v090.i06>
  for more information.'
authors:
- family-names: Petersen
  given-names: Anne Helby
  email: ahpe@sund.ku.dk
- family-names: Ekstrøm
  given-names: Claus Thorn
  email: ekstrom@sund.ku.dk
preferred-citation:
  type: article
  title: 'dataMaid: Your Assistant for Documenting Supervised Data Quality Screening
    in R'
  authors:
  - family-names: Petersen
    given-names: Anne Helby
    email: ahpe@sund.ku.dk
  - family-names: Ekstr\om
    given-names: Claus Thorn
  journal: Journal of Statistical Software
  year: '2019'
  volume: '90'
  issue: '6'
  doi: 10.18637/jss.v090.i06
  start: '1'
  end: '38'
repository: https://ekstroem.r-universe.dev
repository-code: https://github.com/ekstroem/dataReporter
commit: cd8c940cc9c554b4c9717b2050e1bf45c0a5fe60
url: https://github.com/ekstroem/dataReporter
date-released: '2022-11-24'
contact:
- family-names: Ekstrøm
  given-names: Claus Thorn
  email: ekstrom@sund.ku.dk