Gradient Boosting for Survival Data
Overview
Gradient boosting for optimizing loss functions of different types of survival data, including stratified data. Emily Morris, Kevin He, Yanming Li, Yi Li, Jian Kang (2018) arXiv:1803.07715 see for description of methods.
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- Added a
NEWS.mdfile to track changes to the package.
Bug fixes
- Updated cross validation code to address a bug.
- Updated predict.boosting to address a bug.
From NEWS.md in the release
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Documentation
- Help pages
- 8
- Examples that run
- 100%8 run in a plain check
- Exported functions with examples
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- Documented parameters
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- Return-value docs
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- Help pages citing references
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People & History
Maintainer since 0.1.0 (2019)
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- RR 4.1.0 released · 2021-05-18
- archivedRemoved from CRAN2021-04-27check problems were not corrected in time
- RR 4.0.0 released · 2020-04-24
- 0.1.2
- RR 3.6.0 released · 2019-04-26
- 0.1.12019-03-23 · diff ↗
- 0.1.02019-03-07
- RR 3.5.0 released · 2018-04-23
Package metadata
- First published
- 2019-03-07
- Total releases
- 3 / 7 yrs
- License
- GPL-3 OSI
- Minimum R
- ≥ 2.10
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