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).


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install.packages("boostr")

1.0.0 by Steven Pollack, 6 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