Package: agriDQ Title: Data Quality Checks and Statistical Assumption Testing for Agricultural Experiments Version: 0.1.3 Authors@R: person( given = "Sadikul", family = "Islam", email = "sadikul.islamiasri@gmail.com", role = c("aut", "cre"), comment = c(ORCID = "0000-0003-2924-7122") ) Description: 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). License: GPL (>= 3) Encoding: UTF-8 Language: en-US LazyData: true RoxygenNote: 7.3.3 Depends: R (>= 4.1.0) Imports: stats, graphics, grDevices, utils, nortest, car, lmtest, tseries, stringdist Suggests: testthat (>= 3.0.0), covr, MASS Config/testthat/edition: 3 NeedsCompilation: no Packaged: 2026-10-21 08:16:31 UTC; root Author: Sadikul Islam [aut, cre] (ORCID: ) Maintainer: Sadikul Islam Config/pak/sysreqs: cmake make libicu-dev libssl-dev Repository: https://sadikulislamiasri-hub.r-universe.dev Date/Publication: 2026-04-21 19:42:01 UTC RemoteUrl: https://github.com/cran/agriDQ RemoteRef: HEAD RemoteSha: eb751ad5c66b0c82091fbd929c56647af37e0290