MDCcure: An R package for martingale difference correlation and hypothesis testing in mixture cure models

The proposed methods showed a good performance in both simulated and real-world datasets. Martingale-based dependency measures effectively identified covariates influencing the conditional mean, while the nonparametric tests accurately detected covariate effects on cure probability. The extended test enhanced interpretability in multivariable settings. Goodness-of-fit analyses confirmed that the proposed tools correctly identified appropriate link functions, with visual outputs from plotCure() closely matching analytical results from goft(). Overall, the package enables accurate and efficient inference in the analysis of cure models.