FastKM: A Fast Multiple-Kernel Method Based on a Low-Rank Approximation
Version 1.0

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

Package details

AuthorRachel Marceau, Wenbin Lu, Michele M. Sale, Bradford B. Worrall, Stephen R. Williams, Fang-Chi Hsu, Jung-Ying Tzeng, and Shannon T. Holloway
Date of publication2015-11-10 11:08:14
MaintainerShannon T. Holloway <>
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:

Try the FastKM package in your browser

Any scripts or data that you put into this service are public.

FastKM documentation built on May 29, 2017, 3:30 p.m.