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FastKM  

A Fast Multiple-Kernel Method Based on a Low-Rank Approximation
View on CRAN: Click here


Download and install FastKM package within the R console
Install from CRAN:
install.packages("FastKM")

Install from Github:
library("remotes")
install_github("cran/FastKM")

Install by package version:
library("remotes")
install_version("FastKM", "1.1")



Attach the package and use:
library("FastKM")
Maintained by
Shannon T. Holloway
[Scholar Profile | Author Map]
First Published: 2015-11-10
Latest Update: 2022-06-07
Description:
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 .
How to cite:
Shannon T. Holloway (2015). FastKM: A Fast Multiple-Kernel Method Based on a Low-Rank Approximation. R package version 1.1, https://cran.r-project.org/web/packages/FastKM. Accessed 06 May. 2025.
Previous versions and publish date:
1.0 (2015-11-10 11:08), 1.1 (2022-06-07 14:00)
Other packages that cited FastKM R package
View FastKM citation profile
Other R packages that FastKM depends, imports, suggests or enhances
Complete documentation for FastKM
Functions, R codes and Examples using the FastKM R package
Some associated functions: FastKM-package . KITdesign . KITkernel . geno-class . geno . nongeno-class . nongeno . 
Some associated R codes: A01Classes.R . KITdesignObj.R . KITkernel.R . calcKernelObj.R . deduceTrait.R . eigFunc.R . geno.R . nongeno.R . processWgts.R . shrinkA.R . skatKM.R . survivalKM.R . testGeno.R . toSNP.R . zzz.R .  Full FastKM package functions and examples
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