maboost: Binary and Multiclass Boosting Algorithms

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

Author
Tofigh Naghibi
Date of publication
2014-11-25 17:03:41
Maintainer
Tofigh Naghibi <tofigh@gmail.com>
License
GPL (>= 2)
Version
1.0-0

View on CRAN

Man pages

maboost
Binary and Multiclass Boosting Algorithms
predict.maboost
Predict a data set using maboost
print.maboost
Model Information for Ada
summary.maboost
Summary of model fit for arbitrary data (test, validation, or...
update.maboost
Add more trees to an maboost object
varplot.maboost
Variable selection with maboost

Files in this package

maboost
maboost/NAMESPACE
maboost/R
maboost/R/varplot.maboost.R
maboost/R/maboost.machine.multi.R
maboost/R/maboost.machine.bin.R
maboost/R/predict.maboost.R
maboost/R/update.maboost.R
maboost/R/print.maboost.R
maboost/R/projsplx_k.R
maboost/R/summary.maboost.R
maboost/R/maboost.formula.R
maboost/R/projsplx.R
maboost/R/maboost.default.R
maboost/R/maboost.R
maboost/R/maboost-package.r
maboost/MD5
maboost/DESCRIPTION
maboost/man
maboost/man/summary.maboost.Rd
maboost/man/print.maboost.Rd
maboost/man/predict.maboost.Rd
maboost/man/maboost.Rd
maboost/man/update.maboost.Rd
maboost/man/varplot.maboost.Rd