Last data update: 2014.03.03
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maboost
Package: maboost
Version: 1.0-0
Date: 2014-11-01
Title: Binary and Multiclass Boosting Algorithms
Author: Tofigh Naghibi
Depends: R (>= 2.10), rpart, C50
Description: Performs binary and multiclass boosting in maximum-margin, sparse, smooth and normal settings
as described in "A Boosting Framework on Grounds of Online Learning" by T. Naghibi and B. Pfister, (2014).
For further information regarding the algorithms, please refer to http://arxiv.org/abs/1409.7202
Maintainer: Tofigh Naghibi <tofigh@gmail.com>
License: GPL (>= 2)
Packaged: 2014-11-25 15:05:38 UTC; tofighn
Repository: CRAN
Date/Publication: 2014-11-25 17:03:41
Collate: 'maboost-package.r' 'maboost.R' 'maboost.default.R'
'maboost.formula.R' 'maboost.machine.bin.R'
'maboost.machine.multi.R' 'predict.maboost.R' 'print.maboost.R'
'projsplx.R' 'projsplx_k.R' 'summary.maboost.R'
'update.maboost.R' 'varplot.maboost.R'
NeedsCompilation: no
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0 images,
6 functions,
0 datasets
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Reverse Depends: 0
Install log
* installing to library '/home/ddbj/local/lib64/R/library'
* installing *source* package 'maboost' ...
** package 'maboost' successfully unpacked and MD5 sums checked
** R
** preparing package for lazy loading
** help
*** installing help indices
converting help for package 'maboost'
finding HTML links ... done
maboost html
predict.maboost html
print.maboost html
summary.maboost html
update.maboost html
varplot.maboost html
** building package indices
** testing if installed package can be loaded
* DONE (maboost)
Making 'packages.html' ... done
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