ranger v0.8.0


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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.

Functions in ranger

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


Type Package
Date 2017-06-19
License GPL-3
LinkingTo Rcpp, RcppEigen
RoxygenNote 6.0.1
URL https://github.com/imbs-hl/ranger
BugReports https://github.com/imbs-hl/ranger/issues
NeedsCompilation yes
Packaged 2017-06-19 14:10:39 UTC; wright
Repository CRAN
Date/Publication 2017-06-20 15:35:58 UTC

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