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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>.
Getting started
Browse package contents
Package details |
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| Author | Rachel Marceau, Wenbin Lu, Michele M. Sale, Bradford B. Worrall, Stephen R. Williams, Fang-Chi Hsu, Jung-Ying Tzeng, and Shannon T. Holloway |
| Maintainer | Shannon T. Holloway <shannon.t.holloway@gmail.com> |
| License | GPL-2 |
| Version | 1.1 |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
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