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.
|Author||Marvin N. Wright [aut, cre], Stefan Wager [ctb], Philipp Probst [ctb]|
|Date of publication||2018-01-09 15:08:55 UTC|
|Maintainer||Marvin N. Wright <[email protected]>|
|Package repository||View on CRAN|
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