DDPGPSurv

DDPGPSurv is an R package that implements a Bayesian nonparametric regression model based on dependent Dirichlet and Gaussian processes (DDP-GP) for personalized survival regression analyses. The package is designed to estimate optimal covariate-specific intervals for a given exposure, such as the area under the plasma concentration versus time curve (AUC) of busulfan in allogeneic stem cell transplantation (allo-SCT) for acute leukemia patients.

The DDP-GP model is a flexible approach that estimates personalized exposure intervals by considering the possibility that pharmacokinetics and pharmacodynamics may vary significantly with patient characteristics.