ranger

A Fast Implementation of Random Forests

A fast implementation of Random Forests, particularly suited for high dimensional data. Ensembles of classification, regression, survival and probability prediction trees are supported. Data from genome-wide association studies can be analyzed efficiently. In addition to data frames, datasets of class 'gwaa.data' (R package 'GenABEL') and 'dgCMatrix' (R package 'Matrix') can be directly analyzed.

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Description file content

Package
ranger
Type
Package
Title
A Fast Implementation of Random Forests
Version
0.10.1
Date
2018-05-29
Author
Marvin N. Wright [aut, cre], Stefan Wager [ctb], Philipp Probst [ctb]
Maintainer
Marvin N. Wright
Description
A fast implementation of Random Forests, particularly suited for high dimensional data. Ensembles of classification, regression, survival and probability prediction trees are supported. Data from genome-wide association studies can be analyzed efficiently. In addition to data frames, datasets of class 'gwaa.data' (R package 'GenABEL') and 'dgCMatrix' (R package 'Matrix') can be directly analyzed.
License
GPL-3
Imports
Rcpp (>= 0.11.2), Matrix
LinkingTo
Rcpp, RcppEigen
Depends
R (>= 3.1)
Suggests
survival, testthat
RoxygenNote
6.0.1
URL
BugReports
https://github.com/imbs-hl/ranger/issues
NeedsCompilation
yes
Packaged
2018-06-01 20:13:34 UTC; wright
Repository
CRAN
Date/Publication
2018-06-04 09:27:54 UTC

install.packages('ranger')

0.10.1

14 days ago

https://github.com/imbs-hl/ranger

Marvin N. Wright

GPL-3

Depends on

R (>= 3.1)

Imports

Rcpp (>= 0.11.2), Matrix

Suggests

survival, testthat

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