survML
Tools for Flexible Survival Analysis Using Machine Learning
Statistical tools for analyzing time-to-event data using machine learning. Implements survival stacking for conditional survival estimation, standardized survival function estimation for current status data, and methods for algorithm-agnostic variable importance. See Wolock CJ, Gilbert PB, Simon N, and Carone M (2024) doi:10.1080/10618600.2024.2304070.
- Version1.2.0
- R versionunknown
- LicenseGPL (≥ 3)
- Needs compilation?No
- Wolock CJ, Gilbert PB, Simon N, and Carone M (2024)
- Last release10/31/2024
Documentation
Team
Charles Wolock
Avi Kenny
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- Depends1 package
- Imports8 packages
- Suggests5 packages
- Reverse Imports1 package