R Observatory: Metrics for RobustPrediction version 0.1.7

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

RobustPrediction

0.1.7Package record

Robust Tuning and Training for Cross-Source Prediction

0packages depend

2Kdownloads / year

–test coverage

13/13flavors OK

Overview

About

Maintained by Yuting HeCRAN page ↗GitHub ↗

Provides robust parameter tuning and model training for predictive models applied across data sources where the data distribution varies slightly from source to source. This package implements three primary tuning methods: cross-validation-based internal tuning, external tuning, and the 'RobustTuneC' method. External tuning includes a conservative option where parameters are tuned internally on the training data and validating on an external dataset, providing a slightly pessimistic estimate. It supports Lasso, Ridge, Random Forest, Boosting, and Support Vector Machine classifiers. Currently, only binary classification is supported. The response variable must be the first column of the dataset and a factor with exactly two levels. The tuning methods are based on the paper by Nicole Ellenbach, Anne-Laure Boulesteix, Bernd Bischl, Kristian Unger, and Roman Hornung (2021) "Improved Outcome Prediction Across Data Sources Through Robust Parameter Tuning" doi:10.1007/s00357-020-09368-z.

Install

R (CRAN)pak (dev)Ubuntu (r2u)Fedora (COPR)openSUSE (OBS)

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

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

if (!requireNamespace("pak", quietly = TRUE))
  install.packages("pak", repos = "https://cloud.r-project.org/")
pak::pak("Yuting-He/RobustPrediction")

Development version from Yuting-He/RobustPrediction. Installs pak first if it is not already available.

Release

# enable cranapt (r2u) if it is not already set up, then install
grep -rqs r2u.stat.illinois.edu /etc/apt/sources.list /etc/apt/sources.list.d/ \
  || curl -fsSL https://raw.githubusercontent.com/eddelbuettel/r2u/master/inst/scripts/add_cranapt_noble.sh | sudo bash
sudo apt install -y r-cran-robustprediction

Fast Ubuntu binaries via r2u (no compilation). The cranapt setup runs once and is skipped when it is already enabled. We list this channel from recorded r2u download activity rather than from a live index of the repository, so treat it as last known rather than guaranteed.

bspm (used by r2u) also needs make: sudo apt install make

# 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-RobustPrediction

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-RobustPrediction

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: 2.8 min · r-oldrel-windows-x86_64

Status changes

OK13 OK2026-09-08
ERROR12 OK, 1 ERROR2026-09-07
OK13 OK2026-08-05
NOTE12 OK, 1 NOTE2026-08-01
OK14 OK2026-03-10

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 0.1.7

READMENoVignettesNoNEWSNoCitation fileNoWebsitenot declared in DESCRIPTION

Help pages: 22includes a package overview page
Examples that run: 68%15 run in a plain check · 7 only when donttest examples are enabled (R CMD check --as-cran)
Exported functions with examples: 100%
Documented parameters: 97%
Return-value docs: 100%
Help pages citing references: 14%

How these are measured

Downloads

2K

CRAN downloads in the past year

Rank #21,056 · ~6/day · ~170/mo

Releases R versions

Daily download trend is not available in this view yet.

22030 days

63990 days

2K1 year

Compare downloads with other packages →

Also on68 r2u4 autocran

How downloads are counted

Repository

yuting-he/robustprediction ↗Account: Yuting-He

0Stars

0Forks

0Open issues

0Open PRs

0Releases

Last activity 2024-12-16 · The default branch showed an older version (0.1.6) than CRAN on 2026-10-25

Responsiveness

not measured

How these are measured

PracticesBeta

1 development-tooling and community-health practice detected across 1 family in the upstream repository

Checks run against github.com/yuting-he/robustprediction on 2026-10-25.

Lint, format, editor (1)

RStudio project

How this is detected·Detection ruleset v4 (2026-10-20)

Dependencies

Declared dependencies

6 external dependencies (excludes base and recommended)

Installing RobustPrediction adds 49 packages (31 with compiled code, 52 MB of source tarballs). Heaviest: stringi 11 MB, ggplot2 6.0 MB, data.table 5.7 MB.

Depends (1)

R >= 3.5.0

Imports (6)

glmnet mboost mlr ranger e1071 pROC

LinkingTo (0)

none

Suggests (0)

none

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 (3)

Yuting He

Author, Maintainer since 0.1.4 (2024)

Nicole Ellenbach

Contributor

Roman Hornung

Contributor

Releases (2)

Pick two releases to compare their code metrics.

R
R 4.6.0 released · 2026-04-24
R
R 4.5.0 released · 2025-04-11
0.1.7Latest
record
2024-12-16 · current release · diff ↗
0.1.4
record
2024-11-14
R
R 4.4.0 released · 2024-04-24

Package metadata

First published: 2024-11-14
Total releases: 2 / 2 yrs
License: GPL-3 OSI
Minimum R: ≥ 3.5.0
Bundled data: 135 KB / 2 files
Download size: 171 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("RobustPrediction")

Format

He, Y., Ellenbach, N., & Hornung, R. (2024). RobustPrediction: Robust Tuning and Training for Cross-Source Prediction (Version 0.1.7) [Computer software]. https://doi.org/10.32614/CRAN.package.RobustPrediction

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 RobustPrediction version 0.1.7 [Data set]. HJJB, LLC. Data release v2026-10-26. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-26, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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