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ranger (version 0.16.0)

A Fast Implementation of Random Forests

Description

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.

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Install

install.packages('ranger')

Monthly Downloads

48,077

Version

0.16.0

License

GPL-3

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Maintainer

Last Published

November 12th, 2023

Functions in ranger (0.16.0)

print.ranger

Print Ranger
treeInfo

Tree information in human readable format
ranger

Ranger
csrf

Case-specific random forests.
predict.ranger

Ranger prediction
parse.formula

Parse formula
deforest

Deforesting a random forest
predict.ranger.forest

Ranger prediction
predictions.ranger

Ranger predictions
print.ranger.prediction

Print Ranger prediction
timepoints.ranger

Ranger timepoints
print.ranger.forest

Print Ranger forest
timepoints.ranger.prediction

Ranger timepoints
getTerminalNodeIDs

Get terminal node IDs (deprecated)
holdoutRF

Hold-out random forests
importance.ranger

ranger variable importance
importance_pvalues

ranger variable importance p-values
predictions.ranger.prediction

Ranger predictions
print.deforest.ranger

Print deforested ranger summary