survML-package

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) tools:::Rd_expr_doi("10.1080/10618600.2024.2304070") . package

See Also

Useful links:

• https://github.com/cwolock/survML
• https://cwolock.github.io/survML/
• Report bugs at https://github.com/cwolock/survML/issues

Author(s)

Maintainer : Charles Wolock cwolock@gmail.com (ORCID) [copyright holder]

Other contributors:

• Avi Kenny avi.kenny@gmail.com (ORCID) [contributor]