survML-package {survML} | R Documentation |
survML: Tools for Flexible Survival Analysis Using Machine Learning
Description
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.
Author(s)
Maintainer: Charles Wolock cwolock@gmail.com (ORCID) [copyright holder]
Other contributors:
Avi Kenny avi.kenny@gmail.com (ORCID) [contributor]
See Also
Useful links:
Report bugs at https://github.com/cwolock/survML/issues
[Package survML version 1.2.0 Index]