Lasso and Elastic-Net Penalized Cox's Regression in High Dimensions Models using the Cocktail Algorithm
Overview
We implement a cocktail algorithm, a good mixture of coordinate decent, the majorization-minimization principle and the strong rule, for computing the solution paths of the elastic net penalized Cox's proportional hazards model. The package is an implementation of Yang, Y. and Zou, H. (2013) doi:10.4310/SII.2013.v6.n2.a1.
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Health
- OK13 OK2026-08-05
- NOTE12 OK, 1 NOTE2026-08-01
- OK14 OK2026-03-10
Documentation
- Help pages
- 8includes a package overview page
- Examples that run
- 100%7 run in a plain check
- Exported functions with examples
- 100%
- Documented parameters
- 91%
- Return-value docs
- 100%
- Help pages citing references
- 100%
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Code & Tests
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- RR 4.6.0 released · 2026-04-24
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- RR 4.5.0 released · 2025-04-11
- RR 4.4.0 released · 2024-04-24
- RR 4.3.0 released · 2023-04-21
- RR 4.2.0 released · 2022-04-22
- RR 4.1.0 released · 2021-05-18
- RR 4.0.0 released · 2020-04-24
- RR 3.6.0 released · 2019-04-26
- RR 3.5.0 released · 2018-04-23
- unarchivedReturned to CRAN2017-09-15
- 1.1.32017-09-15 · diff ↗
- archivedRemoved from CRAN2017-04-24check errors were not corrected despite reminders
- RR 3.4.0 released · 2017-04-21
- RR 3.3.0 released · 2016-05-03
- RR 3.2.0 released · 2015-04-16
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Package metadata
- First published
- 2012-03-26
- Total releases
- 6 / 14 yrs
- License
- GPL-2 OSI
- Bundled data
- 38 KB / 1 file
- Download size
- 67 KB
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