cwolock/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>.
Getting started
Browse package contents
Package details |
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| Maintainer | |
| License | GPL (>= 3) |
| Version | 1.2.0.9000 |
| URL | https://github.com/cwolock/survML https://cwolock.github.io/survML/ |
| Package repository | View on GitHub |
| Installation |
Install the latest version of this package by entering the following in R:
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