# --------------------------------------------
# CITATION file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
# --------------------------------------------
 
cff-version: 1.2.0
message: 'To cite package "agriDQ" in publications use:'
type: software
license: GPL-3.0-or-later
title: 'agriDQ: Data Quality Checks and Statistical Assumption Testing for Agricultural
  Experiments'
version: 0.1.3
doi: 10.32614/CRAN.package.agriDQ
abstract: Provides a comprehensive pipeline for data quality checks and statistical
  assumption diagnostics in agricultural experimental data. Functions cover outlier
  detection using Interquartile Range (IQR) fence, Z-score, modified Z-score (Hampel
  identifier), Grubbs test and Dixon Q-test with consensus flagging; missing data
  pattern analysis and mechanism classification (Missing Completely At Random/Missing
  At Random/Missing Not At Random (MCAR/MAR/MNAR)) via Little's test; normality testing
  using Shapiro-Wilk, Anderson-Darling, Kolmogorov-Smirnov, Lilliefors, Pearson chi-square
  and Jarque-Bera tests; homogeneity of variance via Bartlett, Levene and Fligner-Killeen
  tests; independence of errors via Durbin-Watson, Breusch-Godfrey and Wald-Wolfowitz
  runs tests; experimental design validation for Completely Randomised Design (CRD),
  Randomised Complete Block Design (RCBD), Latin Square Design (LSD) and factorial
  designs; qualitative variable consistency checks; and automated HyperText Markup
  Language (HTML) report generation. Designed to align with Findable, Accessible,
  Interoperable and Reusable (FAIR) data principles. Methods follow Gomez and Gomez
  (1984, ISBN:978-0471870920) and Montgomery (2017, ISBN:978-1119492443).
authors:
- family-names: Islam
  given-names: Sadikul
  email: sadikul.islamiasri@gmail.com
  orcid: https://orcid.org/0000-0003-2924-7122
repository: https://cran.r-universe.dev
commit: eb751ad5c66b0c82091fbd929c56647af37e0290
date-released: '2026-04-21'
contact:
- family-names: Islam
  given-names: Sadikul
  email: sadikul.islamiasri@gmail.com
  orcid: https://orcid.org/0000-0003-2924-7122