ranger v0.11.1


Monthly downloads



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.

Functions in ranger

Name Description
holdoutRF Hold-out random forests
importance.ranger ranger variable importance
treeInfo Tree information in human readable format
predictions.ranger Ranger predictions
importance_pvalues ranger variable importance p-values
predictions.ranger.prediction Ranger predictions
parse.formula Parse formula
timepoints.ranger Ranger timepoints
csrf Case-specific random forests.
getTerminalNodeIDs Get terminal node IDs (deprecated)
print.ranger Print Ranger
timepoints.ranger.prediction Ranger timepoints
print.ranger.forest Print Ranger forest
predict.ranger Ranger prediction
predict.ranger.forest Ranger prediction
print.ranger.prediction Print Ranger prediction
ranger Ranger
No Results!

Last month downloads


Type Package
Date 2019-01-24
License GPL-3
LinkingTo Rcpp, RcppEigen
RoxygenNote 6.1.1
URL https://github.com/imbs-hl/ranger
BugReports https://github.com/imbs-hl/ranger/issues
NeedsCompilation yes
Packaged 2019-01-24 12:42:26 UTC; wright
Repository CRAN
Date/Publication 2019-01-24 13:50:03 UTC

Include our badge in your README