Package: ranger 0.18.0

Marvin N. Wright

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.

Authors:Marvin N. Wright [aut, cre], Stefan Wager [ctb], Philipp Probst [ctb]

ranger_0.18.0.tar.gz
ranger_0.18.0.zip(r-4.7-x86_64)ranger_0.18.0.zip(r-4.7-arm64)ranger_0.18.0.zip(r-4.6-x86_64)ranger_0.18.0.zip(r-4.6-arm64)ranger_0.18.0.zip(r-4.5-x86_64)
ranger_0.18.0.tgz(r-4.6-x86_64)ranger_0.18.0.tgz(r-4.6-arm64)ranger_0.18.0.tgz(r-4.5-x86_64)ranger_0.18.0.tgz(r-4.5-arm64)
ranger_0.18.0.tar.gz(r-4.7-arm64)ranger_0.18.0.tar.gz(r-4.7-x86_64)ranger_0.18.0.tar.gz(r-4.6-arm64)ranger_0.18.0.tar.gz(r-4.6-x86_64)
ranger_0.18.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html
DESCRIPTION |NEWS
card.svg |card.png
ranger/json (API)

# Install 'ranger' in R:
install.packages('ranger', repos = c('https://imbs-hl.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/imbs-hl/ranger/issues

Pkgdown/docs site:https://imbs-hl.github.io

Uses libs:
  • c++– GNU Standard C++ Library v3

On CRAN:

Conda:

cpp

16.16 score 814 stars 257 packages 14k scripts 59k downloads 91 mentions 11 exports 4 dependencies

Last updated from:dafa5db579. Checks:15 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK172
linux-devel-x86_64OK197
source / vignettesOK211
linux-release-arm64OK166
linux-release-x86_64OK192
macos-release-arm64OK183
macos-release-x86_64OK314
macos-oldrel-arm64OK147
macos-oldrel-x86_64OK356
windows-devel-arm64OK284
windows-devel-x86_64OK214
windows-release-arm64OK257
windows-release-x86_64OK204
windows-oldrel-x86_64OK181
wasm-releaseOK130

Exports:csrfdeforestgetTerminalNodeIDsholdoutRFhshrinkimportanceimportance_pvaluespredictionsrangertimepointstreeInfo

Dependencies:latticeMatrixRcppRcppEigen

Readme and manuals

Help Manual

Help pageTopics
Case-specific random forests.csrf
Deforesting a random forestdeforest deforest.ranger
Get terminal node IDs (deprecated)getTerminalNodeIDs
Hold-out random forestsholdoutRF
Hierarchical shrinkagehshrink
ranger variable importance p-valuesimportance_pvalues
ranger variable importanceimportance importance.ranger
Parse formulaparse.formula
Ranger predictionpredict.ranger
Ranger predictionpredict.ranger.forest
Ranger predictionspredictions.ranger
Ranger predictionspredictions predictions.ranger.prediction
Print deforested ranger summaryprint.deforest.ranger
Print Rangerprint.ranger
Print Ranger forestprint.ranger.forest
Print Ranger predictionprint.ranger.prediction
Rangerranger
Ranger timepointstimepoints timepoints.ranger
Ranger timepointstimepoints.ranger.prediction
Tree information in human readable formattreeInfo