JMboost

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).

Installation

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")