Package: quantregRanger 1.0

quantregRanger: Quantile Regression Forests for 'ranger'

This is the implementation of quantile regression forests for the fast random forest package 'ranger'.

Authors:Philipp Probst [aut, cre]

quantregRanger_1.0.tar.gz
quantregRanger_1.0.zip(r-4.7)quantregRanger_1.0.zip(r-4.6)quantregRanger_1.0.zip(r-4.5)
quantregRanger_1.0.tgz(r-4.6-x86_64)quantregRanger_1.0.tgz(r-4.6-arm64)quantregRanger_1.0.tgz(r-4.5-x86_64)quantregRanger_1.0.tgz(r-4.5-arm64)
quantregRanger_1.0.tar.gz(r-4.7-arm64)quantregRanger_1.0.tar.gz(r-4.7-x86_64)quantregRanger_1.0.tar.gz(r-4.6-arm64)quantregRanger_1.0.tar.gz(r-4.6-x86_64)
quantregRanger_1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
quantregRanger/json (API)

# Install 'quantregRanger' in R:
install.packages('quantregRanger', repos = c('https://philipppro.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/philipppro/quantregranger/issues

Uses libs:
  • c++– GNU Standard C++ Library v3

On CRAN:

Conda:

cpp

3.60 score 8 stars 8 scripts 166 downloads 1 exports 5 dependencies

Last updated from:e80b832df0. Checks:13 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK118
linux-devel-x86_64OK120
source / vignettesOK168
linux-release-arm64OK116
linux-release-x86_64OK123
macos-release-arm64OK89
macos-release-x86_64OK215
macos-oldrel-arm64OK196
macos-oldrel-x86_64OK349
windows-develOK173
windows-releaseOK111
windows-oldrelOK115
wasm-releaseOK107

Exports:quantregRanger

Dependencies:latticeMatrixrangerRcppRcppEigen