Provides a collection of estimators for regression models with outcome-dependent right-censored covariates, including inverse probability weighting (IPW), augmented IPW (AIPW), and maximum likelihood estimators. Methods are motivated by and applied to Huntington disease data. For full methodological details, see the paper "Robust Estimation under Outcome Dependent Right Censoring in Huntington Disease: Estimators for Low and High Censoring Rates."