maboost: Binary and Multiclass Boosting Algorithms
Version 1.0-0

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

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AuthorTofigh Naghibi
Date of publication2014-11-25 17:03:41
MaintainerTofigh Naghibi <tofigh@gmail.com>
LicenseGPL (>= 2)
Version1.0-0
Package repositoryView on CRAN
InstallationInstall the latest version of this package by entering the following in R:
install.packages("maboost")

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

Functions

maboost Man page
maboost.default Man page
maboost.formula Man page
maboost.machine.bin Man page
maboost.machine.mult Man page
predict.maboost Man page
print.maboost Man page
projsplx Source code
projsplx_k Source code
summary.maboost Man page
update.maboost Man page
varplot.maboost Man page

Files

NAMESPACE
R
R/varplot.maboost.R
R/maboost.machine.multi.R
R/maboost.machine.bin.R
R/predict.maboost.R
R/update.maboost.R
R/print.maboost.R
R/projsplx_k.R
R/summary.maboost.R
R/maboost.formula.R
R/projsplx.R
R/maboost.default.R
R/maboost.R
R/maboost-package.r
MD5
DESCRIPTION
man
man/summary.maboost.Rd
man/print.maboost.Rd
man/predict.maboost.Rd
man/maboost.Rd
man/update.maboost.Rd
man/varplot.maboost.Rd
maboost documentation built on May 19, 2017, 10:52 p.m.