R Observatory: Metrics for modelimportance version 0.1.0

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

modelimportance

0.1.0Package record

Measuring Contributions of Component Models to Ensemble Forecast Accuracy

0packages depend

909downloads / year

–test coverage

13/13flavors OK

Overview

About

Maintained by Minsu KimCRAN page ↗GitHub ↗Issues ↗

Provides metrics for quantifying the contribution of individual component models to the predictive accuracy of ensemble forecasts. The package implements the Leave-One-Model-Out (LOMO) and Leave-All-Subset-of-One-Model-Out (LASOMO) model importance metrics, enabling users to assess the relative importance of component models and better understand the performance of ensemble forecasting systems. Methods are described in Kim et al. (2026) doi:10.1016/j.ijforecast.2025.12.006.

Changes in 0.1.0

Initial CRAN submission.

From NEWS.md in the release

Install

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

install.packages("modelimportance", 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("mkim425/modelimportance")

Development version from mkim425/modelimportance. 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-modelimportance

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-modelimportance

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-modelimportance

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: 7.3 min · r-oldrel-windows-x86_64

Status changes

OK13 OK2026-08-05
NOTE12 OK, 1 NOTE2026-08-01
OK6 OK2026-07-17

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 0.1.0

READMEYes · 224 wordsVignettesYes · 2 · dynamicNEWSYes · 67% structured · mentions 0.1.0Citation fileNo

Help pages: 11
Examples that run: 100%1 run in a plain check
Exported functions with examples: 100%
Documented parameters: 100%
Return-value docs: 100%
Help pages citing references: 0%

Vignettes (2)

How these are measured

Downloads

909

CRAN downloads in the past year

Rank #13,356 · ~2/day · ~76/mo

Releases R versions

Daily download trend is not available in this view yet.

38030 days

84990 days

9091 year

Compare downloads with other packages →

Also on12 r2u6 autocran

How downloads are counted

Repository

mkim425/modelimportance ↗Account: mkim425

3Stars

0Forks

4Open issues

0Open PRs

1Releases

90Commits

1Commit identities

90 commits · Last activity 2026-07-20 · +50% stars, 30d

Responsiveness

How these are sampled

PRs merged (all time): 90%
Median days to close, 50 most recently updated closed issues: 6
Median days to close, 50 most recently updated closed PRs: 0

Stars over time

2026-07-17 · 22026-10-03 · 3

How these are measured

PracticesBeta

12 development-tooling and community-health practices detected across 6 families in the upstream repository

Checks run against github.com/mkim425/modelimportance on 2026-10-11.

Continuous integration (2)

GitHub ActionsR CMD check workflow

The R CMD check workflow runs on Linux, macOS and Windows, and on R-devel

Governance and community (1)

Code of conduct

Docs source (3)

pkgdown

GitHub Pages site last deployed 2026-07-20 · The repository has a site deploy workflow

Reproducibility and dev environment (1)

data-raw/

Show all practicesHide 2 practices

CRAN release process (1)

cran-comments.md

Lint, format, editor (4)

lintrLint workflowAirVS Code

How this is detected·Detection ruleset v3 (2026-09-26)

AI coding toolsBeta

This repository shows signs of AI coding tools.

Claude Codefirst seen 2026-02-25
Pull request it wrote: opened by a project member

How this is detected·Detection ruleset v4 (updated 2026-09-27)

Dependencies

Declared dependencies

17 external dependencies (excludes base and recommended)

Installing modelimportance adds 66 packages (34 with compiled code, 51 MB of source tarballs). Heaviest: stringi 11 MB, ggplot2 6.0 MB, data.table 5.7 MB.

Depends (1)

R >= 4.1.0

Imports (11)

hubUtils dplyr hubEvals hubEnsemblesmethodspurrr furrr future checkmate rlangstats

LinkingTo (0)

none

Suggests (8)

knitr rmarkdown tidyr kableExtra ggplot2 scoringutils testthat (>= 3.0.0)progressr

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 (5)

Author

Author

Author, Contributor

Contributor

Releases (1)

0.1.0Latest
record
2026-07-16 · current release
R
R 4.6.0 released · 2026-04-24

Package metadata

First published: 2026-07-16
Total releases: 1 / 1 yrs
License: MIT + file LICENSE OSI
Minimum R: ≥ 4.1.0
Bundled data: 3.4 KB / 6 files
Download size: 3.8 MB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("modelimportance")

Format

Kim, M., Kamvar, Z., Ray, E., Reich, N., & Shandross, L. (2026). modelimportance: Measuring Contributions of Component Models to Ensemble Forecast Accuracy (Version 0.1.0) [Computer software]. https://doi.org/10.32614/CRAN.package.modelimportance

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 modelimportance version 0.1.0 [Data set]. HJJB, LLC. Data release v2026-10-18. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-18, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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