Boosting Beta Regression

Implements boosting beta regression for potentially high-dimensional data (Mayr et al., 2018 ). The 'betaboost' package uses the same parametrization as 'betareg' (Cribari-Neto and Zeileis, 2010 ) to make results directly comparable. The underlying algorithms are implemented via the R add-on packages 'mboost' (Hofner et al., 2014 ) and 'gamboostLSS' (Mayr et al., 2012 ).


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betaboost implements a wrapper for boosting beta regression for potentially high-dimensional data. The betaboost packages uses the same parametrization as betareg to make results directly comparable. The underlying boosting algorithms are implemented via the R add-on packages mboost and gamboostLSS.

Installation

Current release from CRAN:

install.packages("betaboost")
library("betaboost")

Latest development version from GitHub:

library("devtools")
install_github("boost-R/betaboost")
library("betaboost")

To be able to use the install_github() command, one needs to install devtools first:

install.packages("devtools")

News

Reference manual

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install.packages("betaboost")

1.0.1 by Andreas Mayr, a year ago


For source code, development versions and issue tracker see https://github.com/boost-R/betaboost


Browse source code at https://github.com/cran/betaboost


Authors: Andreas Mayr , Benjamin Hofner , Leonie Weinhold , Matthias Schmid


Documentation:   PDF Manual  


GPL-3 license


Depends on mboost, gamboostLSS

Suggests gamlss.dist, knitr, rmarkdown, betareg


See at CRAN