ranger (0.8.0)

0 users

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') can be directly analyzed.

Maintainer: Marvin N. Wright
Author(s): Marvin N. Wright

License: GPL-3

Uses: Matrix, Rcpp, GenABEL, survival, testthat
Reverse depends: Boruta, metaforest
Reverse suggests: batchtools, bWGR, climbeR, edarf, GSIF, IPMRF, knockoff, MFKnockoffs, mlr, NAM, pdp, purge, SuperLearner

Released 6 months ago.


7 previous versions

Ratings

Overall:

  (0 votes)

Documentation:

  (0 votes)

Log in to vote.

Reviews

No one has written a review of ranger yet. Want to be the first? Write one now.


Related packages: ahaz, CoxBoost, gbm, glmnet, glmpath, ipred, mboost, pamr, party, penalized, rpart, LTRCtrees, LogicReg, randomForestSRC, rgp, RSNNS, rminer, bigRR, mlr, maptree(20 best matches, based on common tags.)


Search for ranger on google, google scholar, r-help, r-devel.

Visit ranger on R Graphical Manual.