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Boosting algorithms for fitting generalized linear, additive and interaction models to potentially high-dimensional data. The current relase version can be found on CRAN (http://cran.r-project.org/package=mboost).
boost-R/mboost
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mboost implements boosting algorithms for fitting generalized linear, additive and interaction modelsto potentially high-dimensional data.
For installation instructions see below.
Instructions on how to usemboost can be found in various places:
- Have a look at the tutorials:
- Visit theproject homepage and see further tutorials and references there.
For issues, bugs, feature requests etc. please use theGitHub Issues.
Current version (from CRAN):
install.packages("mboost")Latestpatch version (patched version of CRAN package; under development) from GitHub:
library("devtools")install_github("boost-R/mboost")library("mboost")
Latestdevelopment version (version with new features; under development) from GitHub:
library("devtools")install_github("boost-R/mboost",ref="devel")library("mboost")
To be able to use the
install_github()command, one needs to installdevtoolsfirst:install.packages("devtools")
About
Boosting algorithms for fitting generalized linear, additive and interaction models to potentially high-dimensional data. The current relase version can be found on CRAN (http://cran.r-project.org/package=mboost).