YARF: Yet Another Random Forests Package

YARF—Yet Another Random Forests package—is a customizable, asynchronous, and parallelized random-forest implementation for R. It supports custom JavaScript splitting and aggregation behavior, missingness incorporated in attributes, and random-forest-based imputation.

Highlights

• Classification and regression forests with out-of-bag diagnostics
• Custom JavaScript split rules and aggregation functions
• Missingness incorporated in attributes (MIA)
• Random-forest-based missing-value imputation
• Asynchronous and parallel tree construction
• Variable-importance, interaction, proximity, and tree-inspection tools

Installation

YARF is distributed through the kapelner R-universe, not CRAN:

install.packages(
  "YARF",
  repos = c(
    kapelner = "https://kapelner.r-universe.dev",
    CRAN = "https://cloud.r-project.org"
  )
)

Java 8 or newer is required.

Quick start

library(YARF)

fit <- YARF(
  X = iris[, 1:4],
  y = iris$Species,
  num_trees = 100
)

predict(fit, iris[, 1:4])

See the package website for the getting-started guide and reference, and the R-universe package page for builds and binaries.

Citation and license

Run citation("YARF") for citation details. YARF is maintained by Adam Kapelner with contributions from Matt Olson and Abhinav Patil and is released under GPL-3.