Derives prediction rule ensembles (PREs). Largely follows the procedure for deriving PREs as described in Friedman & Popescu (2008; <DOI:10.1214/07-AOAS148>), with adjustments and improvements. The main function pre() derives prediction rule ensembles consisting of rules and/or linear terms for continuous, binary, count, multinomial, and multivariate continuous responses. Function gpe() derives generalized prediction ensembles, consisting of rules, hinge and linear functions of the predictor variables.
|Author||Marjolein Fokkema [aut, cre], Benjamin Christoffersen [aut]|
|Maintainer||Marjolein Fokkema <[email protected]>|
|License||GPL-2 | GPL-3|
|Package repository||View on CRAN|
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