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
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