FastKM: A Fast Multiple-Kernel Method Based on a Low-Rank Approximation

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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 <sthollow@ncsu.edu>
License
GPL-2
Version
1.0

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Man pages

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"'

Files in this package

FastKM
FastKM/NAMESPACE
FastKM/R
FastKM/R/KITdesignObj.R
FastKM/R/KITkernel.R
FastKM/R/nongeno.R
FastKM/R/deduceTrait.R
FastKM/R/survivalKM.R
FastKM/R/calcKernelObj.R
FastKM/R/eigFunc.R
FastKM/R/shrinkA.R
FastKM/R/geno.R
FastKM/R/skatKM.R
FastKM/R/testGeno.R
FastKM/R/toSNP.R
FastKM/R/A01Classes.R
FastKM/R/processWgts.R
FastKM/R/zzz.R
FastKM/MD5
FastKM/DESCRIPTION
FastKM/man
FastKM/man/KITkernel.Rd
FastKM/man/FastKM-package.Rd
FastKM/man/nongeno.Rd
FastKM/man/KITdesign.Rd
FastKM/man/nongeno-class.Rd
FastKM/man/geno-class.Rd
FastKM/man/geno.Rd