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betaboost

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")

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Version

Install

install.packages('betaboost')

Monthly Downloads

17

Version

1.0.1

License

GPL-3

Issues

Pull Requests

Stars

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Maintainer

Andreas Mayr

Last Published

July 7th, 2018

Functions in betaboost (1.0.1)

R2.betaboost

Computing pseudo R^2 for betaboost models.
make_mboostform

Building mboost formulas
BetaReg

BetaReg family for boosting beta regression
dataqol2

Longitudinal quality of life data
betaboost

Function for boosting beta regression
confint.betaboost

Pointwise Bootstrap Confidence Intervals
QoLdata

Examplary Quality of Life data
predict.betaboost

Predictions for betaboost models