FastKM
A Fast Multiple-Kernel Method Based on a Low-Rank Approximation
A computationally efficient and statistically rigorous fast Kernel Machine method for multi-kernel analysis. The approach is based on a low-rank approximation to the nuisance effect kernel matrices. The algorithm is applicable to continuous, binary, and survival traits and is implemented using the existing single-kernel analysis software 'SKAT' and 'coxKM'. 'coxKM' can be obtained from https://github.com/lin-lab/coxKM.
- Version1.1
- R versionunknown
- LicenseGPL-2
- Needs compilation?No
- Last release06/07/2022
Team
Shannon T. Holloway
Jung-Ying Tzeng
Rachel Marceau
Wenbin Lu
Michele M. Sale
Bradford B. Worrall
Stephen R. Williams
Fang-Chi Hsu
Insights
Last 30 days
This package has been downloaded 172 times in the last 30 days. More than a random curiosity, but not quite a blockbuster. Still, it's gaining traction! The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 6 times.
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Last 365 days
This package has been downloaded 2,338 times in the last 365 days. Consider this 'mid-tier influencer' status—if it were a TikTok, it would get a nod from nieces and nephews. The day with the most downloads was Jul 21, 2024 with 72 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
- Depends1 package
- Suggests2 packages