fastcox
Lasso and Elastic-Net Penalized Cox's Regression in High Dimensions Models using the Cocktail Algorithm
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: doi:10.4310/SII.2013.v6.n2.a1.
- Version1.1.3
- R versionunknown
- LicenseGPL-2
- Needs compilation?Yes
- Last release09/15/2017
Documentation
Team
Yi Yang
MaintainerShow author detailsHui Zou
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Last 30 days
This package has been downloaded 465 times in the last 30 days. Enough downloads to make a small wave in the niche community. The curiosity is spreading! The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 29 times.
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Last 365 days
This package has been downloaded 6,384 times in the last 365 days. Impressive! The kind of number that makes colleagues ask, 'How did you do it?' The day with the most downloads was Sep 11, 2024 with 58 downloads.
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Dependencies
- Imports1 package