FastKM

Package: FastKM
Type: Package
Title: A Fast Multiple-Kernel Method Based on a Low-Rank Approximation
Version: 1.0
Date: 2015-10-26
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 <sthollow@ncsu.edu>
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 http://www.hsph.harvard.edu/xlin/software.html.
License: GPL-2
Depends: rARPACK, stats, methods
Suggests: coxKM, SKAT, survival
NeedsCompilation: no
Packaged: 2015-11-09 20:59:20 UTC; sthollow
Repository: CRAN
Date/Publication: 2015-11-10 11:08:14

Install log

* installing to library '/home/ddbj/local/lib64/R/library'
* installing *source* package 'FastKM' ...
** package 'FastKM' successfully unpacked and MD5 sums checked
** R
** preparing package for lazy loading
** help
*** installing help indices
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** building package indices
** testing if installed package can be loaded
* DONE (FastKM)
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