R Observatory: Metrics for RTFBoost version 0.1.0

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

RTFBoost

0.1.0Package record

Robust Tree-Based Boosting for Functional Regression

0packages depend

96downloads / year

–test coverage

13/13flavors OK

Overview

About

Maintained by Xiaomeng JuCRAN page ↗

Implements a family of robust tree-based boosting methods for functional regression, including procedures based on least absolute deviation, M-estimation, and MM-estimation. The package also includes a non-robust tree-based boosting method introduced in Ju X and Salibian-Barrera M. (2024) doi:10.1007/s00180-023-01364-2. Functions are provided for model fitting and prediction in regression settings with functional predictors.

Install

R (CRAN)Fedora (COPR)openSUSE (OBS)

install.packages("RTFBoost", repos = "https://cloud.r-project.org/")

Installs the current CRAN release. Prebuilt binaries on Windows and macOS.

# enable the iucar/cran COPR if it is not already present, then install
ls /etc/yum.repos.d/*iucar*cran*.repo >/dev/null 2>&1 \
  || sudo dnf copr enable -y iucar/cran
sudo dnf install -y R-CRAN-RTFBoost

RPMs from the iucar/cran COPR, rebuilt from CRAN.

For install.packages() integration in R, also: sudo dnf install R-CoprManager

# add the autoCRAN OBS repo (Tumbleweed) if it is missing, then install
zypper -q lr | grep -qi autoCRAN \
  || sudo zypper addrepo https://download.opensuse.org/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Tumbleweed/devel:languages:R:autoCRAN.repo
sudo zypper install -y R-RTFBoost

RPMs auto-built from CRAN on openSUSE OBS (Tumbleweed). We list this channel from recorded autoCRAN download activity rather than from a live index of the repository, so treat it as last known rather than guaranteed.

Health

CRAN checks

13OK

CRAN check page ↗

Slowest check: 2.1 min · r-oldrel-windows-x86_64

Status changes

OK13 OKNow
OK7 OK2026-10-17

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 0.1.0

READMEYes · 1,012 wordsVignettesNoNEWSNoCitation fileNoWebsitenot declared in DESCRIPTION

Help pages: 9
Examples that run: 100%2 run in a plain check
Exported functions with examples: 29%
Documented parameters: 97%
Return-value docs: 100%
Help pages citing references: 0%

How these are measured

Downloads

96

CRAN downloads in the past year

Rank #25,589 · ~0/day · ~8/mo

RTFBoost Releases R versions

Daily download trend is not available in this view yet.

9630 days

9690 days

961 year

Compare downloads with other packages →

How downloads are counted

Dependencies

Declared dependencies

3 external dependencies (excludes base and recommended)

Installing RTFBoost adds 15 packages (12 with compiled code, 17 MB of source tarballs). Heaviest: lme4 4.1 MB, robustbase 2.2 MB, nloptr 2.1 MB.

Depends (1)

R >= 3.5.0

Imports (5)

statsrpartlme4splinesRobStatTM

LinkingTo (0)

none

Suggests (1)

testthat

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Nothing depends on this yet.

How these are counted

Code & Tests

Datasets

People & History

People (2)

Xiaomeng Ju

Author, Maintainer since 0.1.0 (2026)

Matias Salibian-Barrera

Author

Releases (1)

0.1.0Latest
record
2026-10-16 · current release ·
13 days in CRAN's queue
Listed in CRAN's incoming queue from 2026-10-03 21:57 to 2026-10-16 12:54 UTC, in 58 readings.
R
R 4.6.0 released · 2026-04-24

Across CRAN, the median accepted release of the past year spent 26 hours in the queue, 90% under 11 days.How queue time is measured

Package metadata

First published: 2026-10-16
Total releases: 1 / 1 yrs
License: GPL (>= 3) OSI
Minimum R: ≥ 3.5.0
Bundled data: 59 KB / 2 files
Download size: 87 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("RTFBoost")

Format

Ju, X., & Salibian-Barrera, M. (2026). RTFBoost: Robust Tree-Based Boosting for Functional Regression (Version 0.1.0) [Computer software]. https://doi.org/10.32614/CRAN.package.RTFBoost

This package has no citation file, so citation() returns this entry built from DESCRIPTION.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

Format

APA

Balamuta, J. J. (2026). R Observatory: Metrics for RTFBoost version 0.1.0 [Data set]. HJJB, LLC. Data release v2026-10-22. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-22, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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