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:
To be able to use the
install_github() command, one needs to install
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