modeldiag 0.1.0
- 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