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

Downloads:

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 Mavericks binaries: r-release: FastKM_1.0.tgz, r-oldrel: FastKM_1.0.tgz

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