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# CITATION file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
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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: 0.1.0
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) <https://doi.org/10.1080/01621459.1992.10475190>, Breusch and Pagan (1979)
  <https://doi.org/10.2307/1911963>, and Dean and Lawless (1989) <https://doi.org/10.1080/01621459.1989.10478792>.
authors:
- family-names: Adewuyi
  given-names: Emmanuel
  email: emmanuel.adewuyi@lshtm.ac.uk
- family-names: Lukman
  given-names: Adewale
repository: https://cran.r-universe.dev
repository-code: https://github.com/Teniola17/modeldiag
commit: 4a612a0b5a0e1d37d26ae66f4b2b5ea080dd62bb
url: https://github.com/Teniola17/modeldiag
date-released: '2026-05-28'
contact:
- family-names: Adewuyi
  given-names: Emmanuel
  email: emmanuel.adewuyi@lshtm.ac.uk