A modular framework to bag or boost any estimation procedure.

boostr provides a modular framework that return the focus of ensemble learning back to 'learning' (instead of programming).


Reference manual

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1.0.0 by Steven Pollack, 7 years ago

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

Authors: Steven Pollack <[email protected]>

Documentation:   PDF Manual  

GPL-2 license

Imports foreach, iterators, stringr

Suggests knitr, xtable, mlbench, nnet, class, e1071, randomForest

See at CRAN