JMboost implements a boosting algorithm for fitting joint models to potentially high-dimensional data. The algorithm provides the functionality to simultaneously estimate a longitudinal and a shared predictor.

Details can be found here: - JMboost manuscript (preliminary version currently under review).


Latest version from GitHub: library("devtools") install_github("mayrandy/JMboost") library("JMboost")

To be able to use the install_github() command, one needs to install devtools first: install.packages("devtools")

mayrandy/JMboost documentation built on May 22, 2017, 12:08 a.m.