Package: brif 1.4.1

brif: A Tree and Forest Tool for Classification and Regression

Build decision trees and random forests for classification and regression. The implementation strikes a balance between minimizing computing efforts and maximizing the expected predictive accuracy, thus scales well to large data sets. Multi-threading is available through 'OpenMP' <https://gcc.gnu.org/wiki/openmp>.

Authors:Yanchao Liu [aut, cre]

brif_1.4.1.tar.gz
brif_1.4.1.zip(r-4.7-x86_64)brif_1.4.1.zip(r-4.7-arm64)brif_1.4.1.zip(r-4.6-x86_64)brif_1.4.1.zip(r-4.6-arm64)brif_1.4.1.zip(r-4.5-x86_64)
brif_1.4.1.tgz(r-4.6-x86_64)brif_1.4.1.tgz(r-4.6-arm64)brif_1.4.1.tgz(r-4.5-x86_64)brif_1.4.1.tgz(r-4.5-arm64)
brif_1.4.1.tar.gz(r-4.7-arm64)brif_1.4.1.tar.gz(r-4.7-x86_64)brif_1.4.1.tar.gz(r-4.6-arm64)brif_1.4.1.tar.gz(r-4.6-x86_64)
brif_1.4.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
brif/json (API)

# Install 'brif' in R:
install.packages('brif', repos = c('https://profyliu.r-universe.dev', 'https://cloud.r-project.org'))
Uses libs:
  • c++– GNU Standard C++ Library v3
  • openmp– GCC OpenMP (GOMP) support library

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

cppopenmp

1.00 score 344 downloads 15 exports 1 dependencies

Last updated from:ffda823c95. Checks:15 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK82
linux-devel-x86_64OK95
source / vignettesOK198
linux-release-arm64OK78
linux-release-x86_64OK93
macos-release-arm64OK153
macos-release-x86_64OK214
macos-oldrel-arm64OK184
macos-oldrel-x86_64OK302
windows-devel-arm64OK324
windows-devel-x86_64OK128
windows-release-arm64OK338
windows-release-x86_64OK97
windows-oldrel-x86_64OK95
wasm-releaseOK120

Exports:brifbrif_write_databrif.defaultbrif.formulabrif.trainpredictbrifTreebrifTree.defaultbrifTree.formulapredict.brifprintBrifTreeprintRulesrfpredictrftrainrftrainpredictstratpar

Dependencies:Rcpp