R Observatory: Metrics for Qval version 1.2.4

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

Qval

1.2.4Package record

The Q-Matrix Validation Methods Framework

0packages depend

3Kdownloads / year

0.2%test coverage

13/13flavors OK

Overview

About

Maintained by Haijiang QinCRAN page ↗Website ↗

Provide a variety of Q-matrix validation methods for the generalized cognitive diagnosis models, including the method based on the generalized deterministic input, noisy, and gate model (G-DINA) by de la Torre (2011) DOI:10.1007/s11336-011-9207-7 discrimination index (the GDI method) by de la Torre and Chiu (2016) DOI:10.1007/s11336-015-9467-8, the Hull method by Najera et al. (2021) DOI:10.1111/bmsp.12228, the stepwise Wald test method (the Wald method) by Ma and de la Torre (2020) DOI:10.1111/bmsp.12156, the multiple logistic regression‑based Q‑matrix validation method (the MLR-B method) by Tu et al. (2022) DOI:10.3758/s13428-022-01880-x, the beta method based on signal detection theory by Li and Chen (2024) DOI:10.1111/bmsp.12371 and Q-matrix validation based on relative fit index by Chen et al. (2013) DOI:10.1111/j.1745-3984.2012.00185.x. Different research methods and iterative procedures during Q-matrix validating are available DOI:10.3758/s13428-024-02547-5.

Changes in 1.2.4

Added - is.Qident function to iteratively explore the attribute hierarchy, along with its corresponding S3 methods.
Added - att.hierarchy function to test the identifiability of the Q-matrix, along with its corresponding S3 methods.
Added - sim.data function can randomly generate data with hierarchical structures.
Added - CDM function can perform parameter estimation that incorporates hierarchical structures.
Added - get.beta, get.PVAF, get.R2 and get.priority functions can perform parameter estimation that incorporates hierarchical structures.
Added - The validation function will be computed in parallel when the method is set to "Wlad", "beta", or "MLR-B".

From NEWS.md in the release

Install

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

install.packages("Qval", 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-qval

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-Qval

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-Qval

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: 4.7 min · r-devel-windows-x86_64

Status changes

OK13 OK2026-08-05
NOTE12 OK, 1 NOTE2026-08-01
OK14 OK2026-04-22
ERROR13 OK, 1 ERROR2026-04-18
OK14 OK2026-03-10

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 1.2.4

READMENoVignettesNoNEWSYes · 100% structured · mentions 1.2.4Citation fileNoWebsiteYes

Help pages: 26
Examples that run: 80%20 run in a plain check · 5 only when donttest examples are enabled (R CMD check --as-cran)
Exported functions with examples: 95%
Documented parameters: 99%
Return-value docs: 100%
Help pages citing references: 54%

How these are measured

Downloads

3K

CRAN downloads in the past year

Rank #14,569 · ~8/day · ~252/mo

Releases R versions

Daily download trend is not available in this view yet.

32630 days

82590 days

3K1 year

Compare downloads with other packages →

Also on353 r2u7 autocran

How downloads are counted

Dependencies

Declared dependencies

7 external dependencies (excludes base and recommended)

Installing Qval adds 61 packages (33 with compiled code, 48 MB of source tarballs). Heaviest: ggplot2 6.0 MB, bslib 5.6 MB, promises 3.1 MB.

Depends (1)

R >= 4.1.0

Imports (9)

glmnet GDINAMASSMatrixnloptr Rcppparallelplyr gtools

LinkingTo (1)

Rcpp

Suggests (0)

none

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Nothing depends on this yet.

How these are counted

Code & Tests

People & History

People (2)

Haijiang Qin

Lei Guo

Author, Copyright holder

Releases (12)

Pick two releases to compare their code metrics.

R
R 4.6.0 released · 2026-04-24
1.2.4Latest
record
2025-11-25 · current release · diff ↗ ·
removed 1 export
parallel_iter

added 2 exports
att.hierarchy, is.Qident
1.2.3
record
2025-06-02 · diff ↗
1.2.2
record
2025-05-02 · diff ↗
1.2.1
record
2025-04-23 · diff ↗
R
R 4.5.0 released · 2025-04-11
1.2.0
record
2025-03-08 · diff ↗ ·
added 2 exports
extract, get.beta
1.1.1
record
2025-01-09 · diff ↗
1.1.0
record
2025-01-07 · diff ↗ ·
added 1 export
parallel_iter
1.0.0
record
2024-09-20 · diff ↗ ·
removed 6 exports
getOSR, getQRR, getTNR, getTPR, getUSR, getVRR

added 9 exports
Wald.test, get.Rmatrix, get.priority, zOSR, zQRR, zTNR, zTPR, zUSR, zVRR
0.1.7
record
2024-07-21 · diff ↗
R
R 4.4.0 released · 2024-04-24
0.1.6
record
2024-04-14 · diff ↗
0.1.5
record
2024-03-02 · diff ↗
0.1.4
record
2024-02-04
R
R 4.3.0 released · 2023-04-21

Package metadata

First published: 2024-02-04
Total releases: 12 / 2 yrs
License: GPL-3 OSI
Minimum R: ≥ 4.1.0
Download size: 101 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("Qval")

Format

Qin, H., & Guo, L. (2025). Qval: The Q-Matrix Validation Methods Framework (Version 1.2.4) [Computer software]. https://doi.org/10.32614/CRAN.package.Qval

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 Qval version 1.2.4 [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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