# -------------------------------------------- # CITATION file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # -------------------------------------------- cff-version: 1.2.0 message: 'To cite package "modeldiag" in publications use:' type: software license: MIT title: 'modeldiag: Comprehensive Diagnostics for Statistical Models' version: 0.1.2 doi: 10.32614/CRAN.package.modeldiag abstract: Provides a unified framework for diagnosing common issues in statistical models including linear models, generalized linear models (logistic and Poisson regression), and survival models. Implements tests for multicollinearity, heteroscedasticity, autocorrelation, normality, influential observations, overdispersion, zero-inflation, and proportional hazards assumptions. Includes visualization methods for graphical diagnostics. Methods are based on established approaches including Fox and Monette (1992) , Breusch and Pagan (1979) , and Dean and Lawless (1989) . authors: - family-names: Adewuyi given-names: Emmanuel email: emmanuel.adewuyi@lshtm.ac.uk orcid: https://orcid.org/0000-0002-7920-6866 - family-names: Lukman given-names: Adewale email: adewale.lukman@und.edu orcid: https://orcid.org/0000-0003-2881-1297 - family-names: Owolabi given-names: Abiola email: abiola.owolabi@lautech.edu.ng orcid: https://orcid.org/0000-0001-9843-5085 repository: https://teniola17.r-universe.dev repository-code: https://github.com/Teniola17/modeldiag commit: aa83e07d155267866a36eee6d737715d51aa8151 url: https://teniola17.github.io/modeldiag/ date-released: '2026-06-02' contact: - family-names: Adewuyi given-names: Emmanuel email: emmanuel.adewuyi@lshtm.ac.uk orcid: https://orcid.org/0000-0002-7920-6866