fastcox

Lasso and Elastic-Net Penalized Cox's Regression in High Dimensions Models using the Cocktail Algorithm

CRAN Package

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


Insights

Last 30 days

This package has been downloaded 511 times in the last 30 days. More downloads than an obscure whitepaper, but not enough to bring down any servers. A solid effort! The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 4 times.

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0 downloadsDec 8, 2024
0 downloadsDec 9, 2024
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31 downloadsDec 14, 2024
6 downloadsDec 15, 2024
4 downloadsDec 16, 2024
33 downloadsDec 17, 2024
8 downloadsDec 18, 2024
14 downloadsDec 19, 2024
45 downloadsDec 20, 2024
5 downloadsDec 21, 2024
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33 downloadsDec 23, 2024
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33 downloadsDec 26, 2024
3 downloadsDec 27, 2024
4 downloadsDec 28, 2024
31 downloadsDec 29, 2024
1 downloadsDec 30, 2024
2 downloadsDec 31, 2024
47 downloadsJan 1, 2025
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36 downloadsJan 10, 2025
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4 downloadsJan 12, 2025
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Last 365 days

This package has been downloaded 6,406 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 Jan 24, 2024 with 125 downloads.

The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.

Data provided by CRAN


Binaries


Dependencies

  • Imports1 package