Last data update: 2014.03.03
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MNS
Package: MNS
Type: Package
Title: Mixed Neighbourhood Selection
Version: 1.0
Date: 2015-12-06
Author: Ricardo Pio Monti, Christoforos Anagnostopoulos and Giovanni Montana
Maintainer: Ricardo Pio Monti <ricardo.monti08@gmail.com>
Depends: igraph, MASS, glmnet, mvtnorm, parallel, R (>= 2.10.1)
Imports: doParallel
Description: An implementation of the mixed neighbourhood selection (MNS) algorithm. The MNS algorithm can be used to estimate multiple related precision matrices. In particular, the motivation behind this work was driven by the need to understand functional connectivity networks across multiple subjects. This package also contains an implementation of a novel algorithm through which to simulate multiple related precision matrices which exhibit properties frequently reported in neuroimaging analysis.
License: GPL-2
Packaged: 2015-12-08 11:51:56 UTC; ricardo
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2015-12-08 14:53:44
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0 images,
5 functions,
0 datasets
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Reverse Depends: 0
Install log
* installing to library '/home/ddbj/local/lib64/R/library'
* installing *source* package 'MNS' ...
** package 'MNS' successfully unpacked and MD5 sums checked
** R
** inst
** preparing package for lazy loading
** help
*** installing help indices
converting help for package 'MNS'
finding HTML links ... done
MNS-package html
MNS html
cv.MNS html
gen.Network html
plot.MNS html
** building package indices
** installing vignettes
** testing if installed package can be loaded
* DONE (MNS)
Making 'packages.html' ... done
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