ranger (0.11.2)

1 user

A Fast Implementation of Random Forests.

https://github.com/imbs-hl/ranger
http://cran.r-project.org/web/packages/ranger

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.

Maintainer: Marvin N. Wright
Author(s): Marvin N. Wright [aut, cre], Stefan Wager [ctb], Philipp Probst [ctb]

License: GPL-3

Uses: Matrix, Rcpp, survival, testthat
Reverse depends: Boruta, metaforest, tuneRanger
Reverse suggests: batchtools, breakDown, bWGR, cattonum, climbeR, edarf, forestControl, GSIF, iml, IPMRF, knockoff, lime, MachineShop, MFKnockoffs, mlr, mlrCPO, NAM, pdp, purge, Seurat, stranger, SuperLearner, tidypredict, vip

Released 13 days ago.


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