survML-package: survML: Tools for Flexible Survival Analysis Using Machine...
In cwolock/survML: Tools for Flexible Survival Analysis Using Machine Learning
survML-package 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) \Sexpr[results=rd]{tools:::Rd_expr_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:
cwolock/survML documentation built on April 17, 2025, 5:17 p.m.
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| survML-package | 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) \Sexpr[results=rd]{tools:::Rd_expr_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:
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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