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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>.

Versions across snapshots

VersionRepositoryFileSize
1.2.0 rolling linux/jammy R-4.5 survML_1.2.0.tar.gz 633.9 KiB
1.2.0 rolling linux/noble R-4.5 survML_1.2.0.tar.gz 634.1 KiB
1.2.0 rolling source/ R- survML_1.2.0.tar.gz 472.1 KiB
1.2.0 latest linux/jammy R-4.5 survML_1.2.0.tar.gz 633.9 KiB
1.2.0 latest linux/noble R-4.5 survML_1.2.0.tar.gz 634.1 KiB
1.2.0 latest source/ R- survML_1.2.0.tar.gz 472.1 KiB
1.2.0 2026-04-26 source/ R- survML_1.2.0.tar.gz 472.1 KiB
1.2.0 2026-04-23 source/ R- survML_1.2.0.tar.gz 472.1 KiB
1.2.0 2026-04-09 windows/windows R-4.5 survML_1.2.0.zip 640.6 KiB
1.2.0 2025-04-20 source/ R- survML_1.2.0.tar.gz 472.1 KiB

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