# -------------------------------------------- # CITATION file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # -------------------------------------------- cff-version: 1.2.0 message: 'To cite package "ReproStat" in publications use:' type: software license: GPL-3.0-or-later title: 'ReproStat: Reproducibility Diagnostics for Statistical Modeling' version: 0.1.1 doi: 10.32614/CRAN.package.ReproStat abstract: Tools for diagnosing the reproducibility of statistical model outputs under data perturbations. Implements bootstrap, subsampling, and noise-based perturbation schemes and computes coefficient stability, p-value stability, selection stability, prediction stability, and a composite reproducibility index on a 0 to 100 scale. Includes cross-validation ranking stability for model comparison and visualization utilities. Optional backends support robust M-estimation ('MASS') and penalized regression ('glmnet'). Bootstrap perturbation follows Efron and Tibshirani (1993, ISBN:9780412042317); selection stability follows Meinshausen and Buhlmann (2010) ; reproducibility framework follows Peng (2011) . authors: - family-names: Nti Boateng given-names: Gideon email: gidiboateng200@gmail.com repository: https://ntigideon.r-universe.dev repository-code: https://github.com/ntiGideon/ReproStat commit: d336cc4fa26c4b80bd51938bb103ad68a3d42ddc url: https://ntiGideon.github.io/ReproStat date-released: '2026-03-25' contact: - family-names: Nti Boateng given-names: Gideon email: gidiboateng200@gmail.com