Yael-Travis-Lumer/KMforCSD: Kernel Machine Regression for Current Status Data

This package implements kernel machine regression based on a modification of the quadratic loss, as described in \href{https://arxiv.org/abs/1505.00991}{Kernel Machines for Current Starus Data}. The main function trains a kernel machine, and then uses it to predict the conditional expectation of the unobservable failure time.

install.packages("remotes")
remotes::install_github("Yael-Travis-Lumer/KMforCSD")