R Observatory: Metrics for cdCAT version 0.1.0

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

cdCAT

0.1.0Package record

Computerized Adaptive Testing with Cognitive Diagnostic Models

0packages depend

1Kdownloads / year

91.8%test coverage

13/13flavors OK

Overview

About

Maintained by Thiago MirandaCRAN page ↗GitHub ↗Issues ↗

A session-based engine for cognitive diagnostic computerized adaptive testing (CD-CAT), the application of adaptive testing to cognitive diagnosis models. Three models are supported: the deterministic inputs, noisy "and" gate (DINA), the deterministic inputs, noisy "or" gate (DINO), and the generalized DINA (GDINA) model. Item selection criteria include Kullback-Leibler (KL) information, posterior-weighted Kullback-Leibler (PWKL), modified posterior-weighted Kullback-Leibler (MPWKL), and Shannon entropy (SHE). Latent attribute profiles are estimated by maximum likelihood estimation (MLE), maximum a posteriori (MAP), or expected a posteriori (EAP). Content balancing, item exposure control, and shadow testing are configurable through constraint functions. The implemented methods follow Cheng (2009) doi:10.1007/s11336-009-9123-2 and de la Torre (2011) doi:10.1007/s11336-011-9207-7. Designed for real-time, item-by-item adaptive applications.

Changes in 0.1.0

Initial release.
Session-based CD-CAT engine via the CdcatSession R6 class.
Support for DINA, DINO, and GDINA cognitive diagnosis models.
Item selection criteria: KL, PWKL, MPWKL, SHE, sequential, and random.
Attribute estimation methods: MLE, MAP, and EAP.
Informative priors over skill profiles via cdcat_prior().
Content balancing (Kingsbury & Zara, 1991).
Exposure control (Sympson-Hetter and Randomesque).
Shadow CAT via user-supplied constraint functions.
Stopping rules: fixed length, attribute-level posterior threshold, and dual posterior threshold.
Per-step history tracking with history_df().

Show all changes in 0.1.0Hide the rest of the changes in 0.1.0

Built-in simulated datasets (cdcat_sim).

From NEWS.md in the release

Install

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

install.packages("cdCAT", 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("thiagofmiranda/cdCAT")

Development version from thiagofmiranda/cdCAT. 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-cdcat

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-cdCAT

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-cdCAT

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: 3.1 min · r-release-macos-x86_64

Status changes

OK13 OK2026-08-05
NOTE12 OK, 1 NOTE2026-08-01
OK6 OK2026-06-16

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 0.1.0

READMEYes · 759 wordsVignettesYes · 3 · dynamicNEWSYes · 67% structured · mentions 0.1.0Citation fileYes · computed when R runs itWebsitenot declared in DESCRIPTION

Help pages: 32 (15 internal)
Examples that run: 100%4 run in a plain check
Exported functions with examples: 19%
Documented parameters: 100%
Return-value docs: 94%
Help pages citing references: 31%

Vignettes (3)

How these are measured

Downloads

1K

CRAN downloads in the past year

Rank #20,972 · ~3/day · ~85/mo

Releases R versions

Daily download trend is not available in this view yet.

25330 days

62790 days

1K1 year

Compare downloads with other packages →

Also on31 r2u5 autocran

How downloads are counted

Repository

thiagofmiranda/cdcat ↗Account: thiagofmiranda

0Stars

0Forks

0Open issues

0Open PRs

1Releases

12Commits

1Commit identities

12 commits · Last activity 2026-06-07

Responsiveness

not measured

Releases over time

2026-06-07 · 12026-07-07 · 1

How these are measured

PracticesBeta

6 development-tooling and community-health practices detected across 5 families in the upstream repository

Checks run against github.com/thiagofmiranda/cdcat 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 (1)

README.Rmd

Reproducibility and dev environment (1)

data-raw/

CRAN release process (1)

cran-comments.md

Show all practicesHide 1 practice

Lint, format, editor (1)

RStudio project

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

AI coding toolsBeta

This repository shows signs of AI coding tools.

Claude Codefirst seen 2026-03-04
Named in .Rbuildignore: .claude
Named in .gitignore: .claude
Commits: at least 3 crediting it in the message

Models named in its commits

Claude Opus 4.83 commits · Jun 2026

Counts are commits, not lines of code. Commits by a tool's accounts count once across all of its accounts. Commits crediting it are the largest count among its credit lines, a minimum.How this is detected·Detection ruleset v4 (updated 2026-09-27)

Dependencies

Declared dependencies

7 external dependencies (excludes base and recommended)

Installing cdCAT adds 1 package (0 with compiled code, 63 KB of source tarballs). Heaviest: R6 63 KB.

Depends (1)

R >= 4.1.0

Imports (1)

R6

LinkingTo (0)

none

Suggests (6)

testthat knitr rmarkdown covr GDINA usethis

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)

Thiago Miranda

Author, Maintainer since 0.1.0 (2026)

Bruno Silvestre

Author

Releases (1)

0.1.0Latest
record
2026-06-15 · current release
R
R 4.6.0 released · 2026-04-24

Package metadata

First published: 2026-06-15
Total releases: 1 / 1 yrs
License: MIT + file LICENSE OSI
Minimum R: ≥ 4.1.0
Bundled data: 285 KB / 1 file
Download size: 389 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("cdCAT")

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

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 cdCAT version 0.1.0 [Data set]. HJJB, LLC. Data release v2026-10-20. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-20, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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