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 |
Reference manual: | FastKM.pdf |
Package source: | FastKM_1.0.tar.gz |
Windows binaries: | r-devel: FastKM_1.0.zip, r-release: FastKM_1.0.zip, r-oldrel: FastKM_1.0.zip |
OS X El Capitan binaries: | r-release: FastKM_1.0.tgz |
OS X Mavericks binaries: | r-oldrel: FastKM_1.0.tgz |
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