Changes in version 0.1.2                        

  - Added VIF severity levels and per-predictor reporting:
      - Severity mapping: < 2 = Negligible; 2–5 = Moderate; 5–10 = High;
        >= 10 = Severe.
      - check_vif() now returns severities and collinear_predictors
        (predictors with VIF >= 10).
      - summary() prints per-predictor severities and a severity legend.
      - Tests updated to cover severity labels and collinear predictor
        listing.
  - Added linearity diagnostics for linear models using
    lmtest::resettest().
      - diagnose_model.lm() now includes linearity in its test suite.
      - The summary output interprets whether there is evidence against
        linearity.

                        Changes in version 0.1.1                        

  - Improved multicollinearity reporting in summary() for linear model
    diagnostics.
  - Fixed Authors@R metadata so package builds derive Author and
    Maintainer correctly.

                 Changes in version 0.1.0 (2026-05-28)                  

  - Initial CRAN submission.
  - Added diagnose_model() generic function with methods for:
      - Linear models (lm)
      - Generalized linear models (glm) with binomial and poisson
        families
      - Cox proportional hazards models (coxph)
  - Implemented comprehensive diagnostic tests:
      - Multicollinearity (VIF)
      - Heteroscedasticity (Breusch-Pagan test)
      - Autocorrelation (Durbin-Watson test)
      - Normality (Shapiro-Wilk test)
      - Influential observations (Cook's distance, dfbetas)
      - Overdispersion (Poisson models)
      - Zero-inflation (Poisson models)
      - Proportional hazards (Cox models)
      - Linearity of logit (Logistic models)
      - Goodness of fit (Hosmer-Lemeshow test)
  - Added print(), summary(), and plot() methods for diagnostic results
  - Comprehensive plotting capabilities for visual diagnostics
  - Full documentation with roxygen2
  - Unit tests with testthat