CoxFlexBoost: Boosting Flexible Cox Models (with Time-Varying Effects)

Likelihood-based boosting approach to fit flexible, structured survival models with component-wise linear or P-spline base-learners. Variable selection and model choice are built in features.

AuthorBenjamin Hofner
Date of publicationNone
MaintainerBenjamin Hofner <benjamin.hofner@imbe.med.uni-erlangen.de>
LicenseGPL-2
Version0.7-0

View on R-Forge

Questions? Problems? Suggestions? or email at ian@mutexlabs.com.

Please suggest features or report bugs with the GitHub issue tracker.

All documentation is copyright its authors; we didn't write any of that.