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README.md
In betaboost: Boosting Beta Regression
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")
Try the betaboost package in your browser
Any scripts or data that you put into this service are public.
betaboost documentation built on May 2, 2019, 7:28 a.m.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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")
Try the betaboost package in your browser
Any scripts or data that you put into this service are public.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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