- r-base-core (>= 3.5.2-1)
- r-api-3.5
- r-cran-rcpp (>= 0.11.2)
- r-cran-matrix
- libc6 (>= 2.17)
- libgcc1 (>= 1:3.0)
- libstdc++6 (>= 6)
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.
Installed Size: 685.1 kB
Architectures: arm64 amd64