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-4.6-x86_64)ranger_0.18.0.zip(r-4.5-x86_64)
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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

16.14 score 814 stars 254 packages 14k scripts 56k downloads 91 mentions 11 exports 4 dependencies

Last updated from:dafa5db579. Checks:13 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK165
linux-devel-x86_64OK194
source / vignettesOK210
linux-release-arm64OK162
linux-release-x86_64OK191
macos-release-arm64OK185
macos-release-x86_64OK322
macos-oldrel-arm64OK135
macos-oldrel-x86_64OK274
windows-devel-x86_64OK262
windows-release-x86_64OK229
windows-oldrel-x86_64OK161
wasm-releaseOK150

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