Last data update: 2014.03.03
|
KODAMA
Package: KODAMA
Version: 0.0.1
Date: 2013-11-20
Author: Stefano Cacciatore, Claudio Luchinat, Leonardo Tenori
Maintainer: Stefano Cacciatore <tkcaccia@gmail.com>
Title: Knowledge discovery by accuracy maximization
Description: KODAMA (KnOwledge Discovery by Accuracy MAximization) is an unsupervised and semisupervised learning algorithm that performs feature extraction from noisy and high-dimensional data.
Depends: R (>= 2.10.0), e1071, plsgenomics, class
Suggests: rgl,
SuggestsNote: No suggestions
License: GPL (>= 2)
Packaged: 2014-11-25 15:41:39 UTC; Stefano
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2014-11-25 18:05:43
Install log
* installing to library '/home/ddbj/local/lib64/R/library'
* installing *source* package 'KODAMA' ...
** package 'KODAMA' successfully unpacked and MD5 sums checked
** R
** data
** preparing package for lazy loading
** help
*** installing help indices
converting help for package 'KODAMA'
finding HTML links ... done
KNN.CV html
KODAMA html
MetRef html
PCA.CA.KNN.CV html
PLS.SVM.CV html
finding level-2 HTML links ... done
USA html
classprob html
core html
dinisurface html
helicoid html
kfold html
knn.dist html
knn.predict html
knn.probability html
lymphoma html
majority html
normalization html
scaling html
spirals html
swissroll html
transformy html
** building package indices
** testing if installed package can be loaded
* DONE (KODAMA)
Making 'packages.html' ... done
|