Package: ranger 0.16.3

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]

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NEWS

Peer review:

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

On CRAN:

11 exports 770 stars 10.23 score 4 dependencies 153 dependents 91 mentions 8.4k scripts 39.7k downloads

Last updated 28 days agofrom:974d9b6112. Checks:OK: 9. Indexed: yes.

Exports:csrfdeforestgetTerminalNodeIDsholdoutRFhshrinkimportanceimportance_pvaluespredictionsrangertimepointstreeInfo

Dependencies:latticeMatrixRcppRcppEigen