The hardware and bandwidth for this mirror is donated by METANET, the Webhosting and Full Service-Cloud Provider.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]metanet.ch.

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 <https://github.com/lin-lab/coxKM>.

Version: 1.1
Depends: rARPACK, stats, methods
Suggests: coxKM, SKAT, survival
Published: 2022-06-07
DOI: 10.32614/CRAN.package.FastKM
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 <shannon.t.holloway at gmail.com>
License: GPL-2
NeedsCompilation: no
CRAN checks: FastKM results

Documentation:

Reference manual: FastKM.pdf

Downloads:

Package source: FastKM_1.1.tar.gz
Windows binaries: r-devel: FastKM_1.1.zip, r-release: FastKM_1.1.zip, r-oldrel: FastKM_1.1.zip
macOS binaries: r-release (arm64): FastKM_1.1.tgz, r-oldrel (arm64): FastKM_1.1.tgz, r-release (x86_64): FastKM_1.1.tgz, r-oldrel (x86_64): FastKM_1.1.tgz
Old sources: FastKM archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=FastKM to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.