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Last data update: 2014.03.03

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

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

● Data Source: CranContrib
● 0 images, 7 functions, 0 datasets
● Reverse Depends: 0

onlinePCA : Online Principal Component Analysis

Package: onlinePCA
Type: Package
Title: Online Principal Component Analysis
Version: 1.3
Date: 2015-10-29
Author: David Degras [aut, cre], Herve Cardot [ctb]
Maintainer: David Degras <ddegrasv@gmail.com>
Description: Online PCA for multivariate and functional data using perturbation methods, low-rank incremental methods, and stochastic optimization methods.
License: GPL-3
Depends: R (>= 3.0.2), rARPACK
Imports: Rcpp (>= 0.11.4), splines, stats
LinkingTo: Rcpp, RcppArmadillo
URL: http://cran.r-project.org/package=onlinePCA
Repository: CRAN
NeedsCompilation: yes
Packaged: 2015-10-28 23:32:37 UTC; David
Date/Publication: 2015-10-29 08:29:55

● Data Source: CranContrib
● 0 images, 18 functions, 0 datasets
● Reverse Depends: 0