R Observatory: Metrics for modelskill version 0.1.1

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

modelskill

0.1.1Package record

Assessing and Visualising the Performance of Prediction Models

0packages depend

542downloads / year

97.3%test coverage

13/13flavors OK

Overview

About

Maintained by Alexandre M.J.-C. WadouxCRAN page ↗GitHub ↗Website ↗Issues ↗

Provides tools for evaluating continuous predictions and their associated predictive uncertainty from statistical, machine-learning, geostatistical, and process-based models. It implements complementary measures of prediction error, association, agreement, efficiency, uncertainty calibration, and predictive-distribution performance, together with Taylor, solar, target, coverage, probability integral transform, and quantile-coverage diagnostics. Methods include the integrated evaluation approach of Wadoux, Walvoort and Brus (2022) doi:10.1016/j.geoderma.2021.115332 and the uncertainty-validation framework of Schmidinger and Heuvelink (2023) doi:10.1016/j.geoderma.2023.116585.

Changes in 0.1.1

Replace local README licence links with the full GitHub URL, resolving the invalid file URI reported by CRAN for the first submission.

From NEWS.md in the release

Install

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

install.packages("modelskill", 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("AlexandreWadoux/modelskill")

Development version from AlexandreWadoux/modelskill. 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-modelskill

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-modelskill

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-modelskill

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: 4.1 min · r-oldrel-windows-x86_64

Status changes

OK13 OKNow
OK5 OK2026-09-18

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 0.1.1

READMEYes · 855 wordsVignettesYes · 3 · dynamicNEWSYes · 100% structured · mentions 0.1.1Citation fileYes · computed when R runs itWebsiteYes · pkgdown

Help pages: 50 (1 internal)includes a package overview page
Examples that run: 100%34 run in a plain check
Exported functions with examples: 69%
Documented parameters: 90%
Return-value docs: 100%
Help pages citing references: 92%

Vignettes (3)

How these are measured

Downloads

542

CRAN downloads in the past year

Rank #23,790 · ~1/day · ~45/mo

Releases R versions

Daily download trend is not available in this view yet.

38030 days

54290 days

5421 year

Compare downloads with other packages →

Also on7 r2u1 autocran

How downloads are counted

Repository

alexandrewadoux/modelskill ↗Account: AlexandreWadoux

14Stars

0Forks

0Open issues

0Open PRs

2Releases

174Commits

2Commit identities

biometricseconometricshydrological-modellingmodel-evaluationmodel-validationmodellingpedometricsvalidation

174 commits · Last activity 2026-09-21 · +16.7% stars, 30d

Responsiveness

How these are sampled

PRs merged (all time): 100%
Median days to close, 50 most recently updated closed issues: not measured
Median days to close, 50 most recently updated closed PRs: 0

Stars over time

2026-09-17 · 122026-10-03 · 14

How these are measured

PracticesBeta

8 development-tooling and community-health practices detected across 4 families in the upstream repository

Checks run against github.com/alexandrewadoux/modelskill on 2026-10-22.

Continuous integration (2)

GitHub ActionsR CMD check workflow

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

Docs source (4)

README.Rmdpkgdown

GitHub Pages site last deployed 2026-09-21 · The repository has a site deploy workflow

CRAN release process (1)

cran-comments.md

Research and citation (1)

CITATION.cff

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

Dependencies

Declared dependencies

7 external dependencies (excludes base and recommended)

Installing modelskill adds 21 packages (9 with compiled code, 19 MB of source tarballs). Heaviest: ggplot2 6.0 MB, viridis 2.9 MB, Rcpp 1.8 MB.

Depends (0)

none

Imports (3)

ggplot2 ggrepel viridis

LinkingTo (0)

none

Suggests (4)

testthat knitr rmarkdown pkgdown

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Nothing depends on this yet.

How these are counted

Code & Tests

People & History

People (1)

Alexandre M.J.-C. Wadoux

Releases (1)

0.1.1Latest
record
2026-09-17 · current release
R
R 4.6.0 released · 2026-04-24

Package metadata

First published: 2026-09-17
Total releases: 1 / 1 yrs
License: MIT + file LICENSE OSI
Download size: 1.3 MB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("modelskill")

The package provides a citation file that builds its entry when R runs it. Run citation() to see it.

The repository also keeps a CITATION.cff.

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 modelskill version 0.1.1 [Data set]. HJJB, LLC. Data release v2026-10-25. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-25, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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