R Observatory: Metrics for airt version 0.2.2

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

airt

0.2.2Package record

Evaluation of Algorithm Collections Using Item Response Theory

1packages depend

4.3Kdownloads / year

–test coverage

13/13flavors OK

Overview

About

Maintained by Sevvandi KandanaarachchiCRAN page ↗Website ↗

An evaluation framework for algorithm portfolios using Item Response Theory (IRT). We use continuous and polytomous IRT models to evaluate algorithms and introduce algorithm characteristics such as stability, effectiveness and anomalousness (Kandanaarachchi, Smith-Miles 2020) doi:10.13140/RG.2.2.11363.09760.

Install

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

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

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

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-airt

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-airt

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-airt

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: 4.3 min · r-oldrel-windows-x86_64

Status changes

OK13 OK2026-08-05
NOTE12 OK, 1 NOTE2026-08-01
OK13 OK2026-06-09
ERROR12 OK, 1 ERROR2026-06-08
OK14 OK2026-03-10

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 0.2.2

READMEYes · 1,455 wordsVignettesYes · 1 · dynamicNEWSNoCitation fileNoWebsiteYes · pkgdown

Help pages: 18 (2 internal)includes a package overview page
Examples that run: 77%10 run in a plain check · 3 only when donttest examples are enabled (R CMD check --as-cran)
Exported functions with examples: 87%
Documented parameters: 100%
Return-value docs: 93%
Help pages citing references: 11%

Vignettes (1)

Introduction to airt HTML

How these are measured

Downloads

4.3K

CRAN downloads in the past year

Rank #7,038 · ~12/day · ~356/mo

Releases R versions

Daily download trend is not available in this view yet.

47630 days

1.2K90 days

4.3K1 year

Compare downloads with other packages →

Also on132 r2u26 autocran

How downloads are counted

Repository

sevvandi/airt ↗Account: sevvandi

0Stars

0Forks

0Open issues

0Open PRs

0Releases

License file reads as GPL-3.0 · Last activity 2024-03-21 · Default branch at 0.2.3, ahead of CRAN 0.2.2 (checked 2026-10-18)

Responsiveness

not measured

How these are measured

PracticesBeta

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

Checks run against github.com/sevvandi/airt on 2026-10-18.

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 (3)

README.Rmdpkgdown

GitHub Pages site last deployed 2024-03-21

CRAN release process (1)

CRAN-SUBMISSION

Lint, format, editor (1)

RStudio project

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

Dependencies

Declared dependencies

14 external dependencies (excludes base and recommended)

Installing airt adds 105 packages (51 with compiled code, 74 MB of source tarballs). Heaviest: stringi 11 MB, ggplot2 6.0 MB, data.table 5.7 MB.

Depends (1)

R >= 3.4.0

Imports (11)

pracma mirt tidyr EstCRM rlang dplyr magrittr tibble ggplot2grDevicesRColorBrewer

LinkingTo (0)

none

Suggests (4)

knitr rmarkdown gridExtra scales

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

1direct

0indirect

Imports 1

Depends, Imports or LinkingTo, most downloaded first

outlierensembles

How these are counted

Code & Tests

Datasets

People & History

People (1)

Sevvandi Kandanaarachchi

Author, Maintainer since 0.1.0 (2020)

Releases (4)

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
R
R 4.4.0 released · 2024-04-24
0.2.2Latest
record
2023-08-08 · current release · diff ↗ ·
removed 2 exports
prepare_for_plots_crm, prepare_for_plots_poly

added 3 exports
autoplot, heatmaps_crm, tracelines_poly
R
R 4.3.0 released · 2023-04-21
R
R 4.2.0 released · 2022-04-22
0.2.1
record
2021-12-17 · diff ↗
R
R 4.1.0 released · 2021-05-18
0.2.0
record
2020-11-23 · diff ↗ ·
removed 6 exports
algo_effectiveness, effectiveness, irtmodel, model_goodness, model_goodness_for_algo, prepare_for_plots

added 13 exports
algo_effectiveness_crm, algo_effectiveness_poly, cirtmodel, effectiveness_crm, effectiveness_poly, latent_trait_analysis, model_goodness_crm, model_goodness_for_algo_crm, model_goodness_for_algo_poly, model_goodness_poly, pirtmodel, prepare_for_plots_crm, prepare_for_plots_poly
0.1.0
record
2020-05-12
R
R 4.0.0 released · 2020-04-24

Package metadata

First published: 2020-05-12
Total releases: 4 / 6 yrs
License: GPL-3 OSI
Minimum R: ≥ 3.4.0
Bundled data: 17 KB / 2 files
Download size: 1.6 MB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("airt")

Format

Kandanaarachchi, S. (2023). airt: Evaluation of Algorithm Collections Using Item Response Theory (Version 0.2.2) [Computer software]. https://doi.org/10.32614/CRAN.package.airt

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 airt version 0.2.2 [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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