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 http://www.hsph.harvard.edu/xlin/software.html.
| Version: |
1.0 |
| Depends: |
rARPACK, stats, methods |
| Suggests: |
coxKM, SKAT, survival |
| Published: |
2015-11-10 |
| 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 <sthollow at ncsu.edu> |
| License: |
GPL-2 |
| NeedsCompilation: |
no |
| CRAN checks: |
FastKM results |
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