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.
|Author||Rachel Marceau, Wenbin Lu, Michele M. Sale, Bradford B. Worrall, Stephen R. Williams, Fang-Chi Hsu, Jung-Ying Tzeng, and Shannon T. Holloway|
|Date of publication||2015-11-10 11:08:14|
|Maintainer||Shannon T. Holloway <firstname.lastname@example.org>|
FastKM-package: A Fast Multiple-Kernel Method Based on a Low-Rank...
geno: Create a geno Object.
geno-class: Class '"geno"'
KITdesign: A Fast Multiple-Kernel Method Based on a Low-Rank...
KITkernel: A Fast Multiple-Kernel Method Based on a Low-Rank...
nongeno: Create a nongeno Object
nongeno-class: Class '"nongeno"'