# rerf

Randomer Forest

R-RerF (aka Randomer Forest (RerF) or Random Projection Forests) is an algorithm developed by Tomita (2016) <arXiv:1506.03410v2> which is similar to Random Forest - Random Combination (Forest-RC) developed by Breiman (2001) <doi:10.1023/A:1010933404324>. Random Forests create axis-parallel, or orthogonal trees. That is, the feature space is recursively split along directions parallel to the axes of the feature space. Thus, in cases in which the classes seem inseparable along any single dimension, Random Forests may be suboptimal. To address this, Breiman also proposed and characterized Forest-RC, which uses linear combinations of coordinates rather than individual coordinates, to split along. This package, 'rerf', implements RerF which is similar to Forest-RC. The difference between the two algorithms is where the random linear combinations occur: Forest-RC combines features at the per tree level whereas RerF takes linear combinations of coordinates at every node in the tree.

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### Description file content

Package
rerf
Type
Package
Title
Randomer Forest
Version
2.0.4
Date
2019-03-15
Description
R-RerF (aka Randomer Forest (RerF) or Random Projection Forests) is an algorithm developed by Tomita (2016) which is similar to Random Forest - Random Combination (Forest-RC) developed by Breiman (2001) . Random Forests create axis-parallel, or orthogonal trees. That is, the feature space is recursively split along directions parallel to the axes of the feature space. Thus, in cases in which the classes seem inseparable along any single dimension, Random Forests may be suboptimal. To address this, Breiman also proposed and characterized Forest-RC, which uses linear combinations of coordinates rather than individual coordinates, to split along. This package, 'rerf', implements RerF which is similar to Forest-RC. The difference between the two algorithms is where the random linear combinations occur: Forest-RC combines features at the per tree level whereas RerF takes linear combinations of coordinates at every node in the tree.
Depends
R (>= 3.3.0), Rcpp (>= 1.0.0)
URL
BugReports
https://github.com/neurodata/R-RerF/issues
Imports
parallel, RcppZiggurat, utils, stats, dummies, mclust
Suggests
roxygen2 (>= 5.0.0), testthat
SystemRequirements
GNU make
ByteCompile
true
RoxygenNote
6.1.1
NeedsCompilation
yes
Packaged
2019-03-15 16:54:50 UTC; JLP
Author
Jesse Patsolic [ctb, cre], Benjamin Falk [ctb], Jaewon Chung [ctb], James Browne [aut], Tyler Tomita [aut], Joshua Vogelstein [ths]
Maintainer
Jesse Patsolic
Repository
CRAN
Date/Publication
2019-03-15 18:50:03 UTC

`install.packages('rerf')`

2.0.4

4 months ago

Jesse Patsolic