r-cran-ranger binary package in Ubuntu Lunar riscv64
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.
Publishing history
| Date | Status | Target | Component | Section | Priority | Phased updates | Version | ||
|---|---|---|---|---|---|---|---|---|---|
| 2022-10-27 17:20:10 UTC | Published | Ubuntu Lunar riscv64 | release | universe | gnu-r | Optional | 0.14.1-1 | ||
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