Gaussian process regression for survival data with competing risks

Flexible non-parametric regression tool for survival data (including competing risks)

This tool performs Gaussian process (GP) regression on time-to-event measurements (survival data). GP regression offers a flexible non-parametric way to infer the relationship between covariates and survival outcomes. Predictions, hazard rates, and survival functions can all be computed. This work is based on the publication available here: http://arxiv.org/abs/1312.1591. Please don't hesitate to email me if there are any problems.