boost-R

boost-R

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Model-based boosting methods for R

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boost-R's repositories

mboost

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).

gamboostLSS

Boosting models for fitting generalized additive models for location, shape and scale (GAMLSS) to potentially high dimensional data. The current relase version can be found on CRAN (https://cran.r-project.org/package=gamboostLSS).

FDboost

Boosting Functional Regression Models. The current release version can be found on CRAN (http://cran.r-project.org/package=FDboost).

betaboost

R wrapper to boost beta regression via mboost and gamboostLSS. The current release version can be found on CRAN (http://CRAN.R-project.org/package=betaboost).

datamicroarray

A collection of small-sample, high-dimensional microarray data sets to assess machine-learning algorithms and models.

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