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') can be directly analyzed.

Author
Marvin N. Wright
Date of publication
2016-10-07 18:10:05
Maintainer
Marvin N. Wright <wright@imbs.uni-luebeck.de>
License
GPL-3
Version
0.6.0
URLs

View on CRAN

Man pages

csrf
Case-specific random forests.
getTerminalNodeIDs
Get terminal node IDs (deprecated)
holdoutRF
Hold-out random forests
importance_pvalues
ranger variable importance p-values
importance.ranger
ranger variable importance
predictions.ranger
Ranger predictions
predictions.ranger.prediction
Ranger predictions
predict.ranger
Ranger prediction
predict.ranger.forest
Ranger prediction
print.ranger
Print Ranger
print.ranger.forest
Print Ranger forest
print.ranger.prediction
Print Ranger prediction
ranger
Ranger
timepoints.ranger
Ranger timepoints
timepoints.ranger.prediction
Ranger timepoints

Files in this package

ranger
ranger/inst
ranger/inst/include
ranger/inst/include/ranger.h
ranger/tests
ranger/tests/testthat.R
ranger/tests/testthat
ranger/tests/testthat/test_maxstat.R
ranger/tests/testthat/test_seed.R
ranger/tests/testthat/test_splitweights.R
ranger/tests/testthat/test_probability.R
ranger/tests/testthat/test_char.R
ranger/tests/testthat/test_survival.R
ranger/tests/testthat/test_inbag.R
ranger/tests/testthat/test_unordered.R
ranger/tests/testthat/test_importance_pvalues.R
ranger/tests/testthat/test_predict.R
ranger/tests/testthat/test_csrf.R
ranger/tests/testthat/test_print.R
ranger/tests/testthat/test_importance.R
ranger/tests/testthat/test_regression.R
ranger/tests/testthat/test_ranger.R
ranger/tests/testthat/test_classification.R
ranger/tests/test_gwaa.Rds
ranger/src
ranger/src/utility.cpp
ranger/src/Tree.cpp
ranger/src/DataDouble.cpp
ranger/src/Makevars
ranger/src/TreeSurvival.h
ranger/src/ForestRegression.cpp
ranger/src/DataFloat.cpp
ranger/src/version.h
ranger/src/DataDouble.h
ranger/src/Data.h
ranger/src/ForestRegression.h
ranger/src/TreeSurvival.cpp
ranger/src/ForestClassification.h
ranger/src/TreeRegression.h
ranger/src/utility.h
ranger/src/TreeRegression.cpp
ranger/src/Tree.h
ranger/src/TreeProbability.cpp
ranger/src/AAA_check_cpp11.cpp
ranger/src/Data.cpp
ranger/src/TreeProbability.h
ranger/src/TreeClassification.cpp
ranger/src/ForestSurvival.h
ranger/src/DataChar.cpp
ranger/src/Forest.cpp
ranger/src/DataFloat.h
ranger/src/TreeClassification.h
ranger/src/globals.h
ranger/src/ForestSurvival.cpp
ranger/src/Makevars.win
ranger/src/ForestClassification.cpp
ranger/src/RcppExports.cpp
ranger/src/ForestProbability.h
ranger/src/ForestProbability.cpp
ranger/src/DataChar.h
ranger/src/rangerCpp.cpp
ranger/src/Forest.h
ranger/NAMESPACE
ranger/NEWS
ranger/R
ranger/R/ranger.R
ranger/R/csrf.R
ranger/R/predict.R
ranger/R/getTerminalNodeIDs.R
ranger/R/predictions.R
ranger/R/RcppExports.R
ranger/R/print.R
ranger/R/timepoints.R
ranger/R/holdoutRF.R
ranger/R/importance.R
ranger/MD5
ranger/DESCRIPTION
ranger/man
ranger/man/getTerminalNodeIDs.Rd
ranger/man/predict.ranger.Rd
ranger/man/print.ranger.prediction.Rd
ranger/man/holdoutRF.Rd
ranger/man/timepoints.ranger.Rd
ranger/man/importance_pvalues.Rd
ranger/man/ranger.Rd
ranger/man/predict.ranger.forest.Rd
ranger/man/predictions.ranger.prediction.Rd
ranger/man/timepoints.ranger.prediction.Rd
ranger/man/importance.ranger.Rd
ranger/man/predictions.ranger.Rd
ranger/man/print.ranger.Rd
ranger/man/print.ranger.forest.Rd
ranger/man/csrf.Rd