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 505 times in the last 30 days. Not bad! The download count is somewhere between 'small-town buzz' and 'moderate academic conference'. The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 19 times.
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Last 365 days
This package has been downloaded 6,397 times in the last 365 days. That's a lot of interest! Someone might even write a blog post about it. The day with the most downloads was Sep 11, 2024 with 58 downloads.
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Dependencies
- Imports1 package