R Observatory: Metrics for edmdata version 1.3.0

Name: R Observatory: Metrics for edmdata version 1.3.0
Creator: James Joseph Balamuta

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

edmdata

1.3.0Package record

Data Sets for Psychometric Modeling

1packages dependsuggested by 1

5.8Kdownloads / year

–test coverage

13/13flavors OK

Overview

About

Maintained by James Joseph BalamutaCRAN page ↗GitHub ↗Website ↗Issues ↗

Collection of data sets from various assessments that can be used to evaluate psychometric models. These data sets have been analyzed in the following papers that introduced new methodology as part of the application section: Jimenez, A., Balamuta, J. J., & Culpepper, S. A. (2023) doi:10.1111/bmsp.12307, Culpepper, S. A., & Balamuta, J. J. (2021) doi:10.1080/00273171.2021.1985949, Yinghan Chen et al. (2021) doi:10.1007/s11336-021-09750-9, Yinyin Chen et al. (2020) doi:10.1007/s11336-019-09693-2, Culpepper, S. A. (2019a) doi:10.1007/s11336-019-09683-4, Culpepper, S. A. (2019b) doi:10.1007/s11336-018-9643-8, Culpepper, S. A., & Chen, Y. (2019) doi:10.3102/1076998618791306, Culpepper, S. A., & Balamuta, J. J. (2017) doi:10.1007/s11336-015-9484-7, and Culpepper, S. A. (2015) doi:10.3102/1076998615595403.

Changes in 1.3.0

Data Sets

items_ordered_pswc_hw
Calculus-based probability and statistics course homework problems.
items_pisa12_us_math
Programme for International Student Assessment (PISA) 2012 U.S. Math Assessment.
items_ordered_pisa12_us_vignette
Programme for International Student Assessment (PISA) 2012 U.S. Student Questionnaire Problem-Solving Vignettes
items_hcp_penn_matrix
Human Connectome Project’s Penn Progressive Matrices Fluid Intelligence Assessment with missing values coded as zero.

Show all changes in 1.3.0Hide the rest of the changes in 1.3.0

items_hcp_penn_matrix_missing
Human Connectome Project’s Penn Progressive Matrices Fluid Intelligence Assessment with missing values coded as NA.
items_probability_part_one_reduced
Elementary Probability Theory Assessment Item Responses based on data from the pks package with subjects containing any missing values removed. Please see the README file in the package's data-raw directory for more information.

Bugfix

We have renamed the items_probability_part_one to items_probability_part_one_full.

From NEWS.md in the release

Install

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

install.packages("edmdata", 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("tmsalab/edmdata")

Development version from tmsalab/edmdata. 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-edmdata

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-edmdata

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-edmdata

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: 1.1 min · r-devel-windows-x86_64

Status changes

OK13 OK2026-08-05
NOTE12 OK, 1 NOTE2026-08-01
OK13 OK2026-07-16
WARNING12 OK, 1 WARNING2026-07-15
OK14 OK2026-03-10

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 1.3.0

READMEYes · 1,562 wordsVignettesNoNEWSYes · 100% structured · mentions 1.3.0Citation fileNoWebsiteYes · pkgdown

Help pages: 20 (1 internal)includes a package overview page
Examples that run: no examples
Exported functions with examples: not tracked
Documented parameters: not tracked
Return-value docs: not tracked
Help pages citing references: 85%

How these are measured

Downloads

5.8K

CRAN downloads in the past year

Rank #4,676 · ~16/day · ~484/mo

Releases R versions

Daily download trend is not available in this view yet.

69230 days

1.8K90 days

5.8K1 year

Compare downloads with other packages →

Also on325 r2u3 autocran1K conda_forge92 c2d4u

How downloads are counted

Repository

tmsalab/edmdata ↗Organization: tmsalab

7Stars

0Forks

2Open issues

0Open PRs

3Releases

62Commits

1Commit identities

rcognitive-diagnostic-modelsdataedm

62 commits · Last activity 2024-10-01 · 0% stars, 30d

Responsiveness

How these are sampled

PRs merged (all time): 96%
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

2026-07-14 · 62026-09-03 · 7

How these are measured

PracticesBeta

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

Checks run against github.com/tmsalab/edmdata on 2026-10-21.

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 2024-10-01 · The repository has a site deploy workflow

pkgdown site last built 2024-10-01, before release 1.3.0 (2024-10-02)

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 v4 (2026-10-20)

Dependencies

Declared dependencies

0 external dependencies (excludes base and recommended)

Installing edmdata adds no packages beyond those that come with R.

Depends (1)

R >= 4.1.0

Imports (0)

none

LinkingTo (0)

none

Suggests (0)

none

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

1direct

0indirect

Imports 1

Suggested by 1

Depends, Imports or LinkingTo, most downloaded first

slcm

Suggests, most downloaded first

ohoegdm

How these are counted

Code & Tests

Datasets

People & History

People (4)

James Joseph Balamuta

Steven Andrew Culpepper

Author, Copyright holder

Jeffrey Alan Douglas

Author, Copyright holder

Auburn Jimenez

Contributor, Copyright holder · added in 1.3.0

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
1.3.0Latest
record
2024-10-02 · current release · diff ↗
R
R 4.4.0 released · 2024-04-24
R
R 4.3.0 released · 2023-04-21
R
R 4.2.0 released · 2022-04-22
1.2.0
record
2021-07-25 · diff ↗
R
R 4.1.0 released · 2021-05-18
1.1.0
record
2021-01-14 · diff ↗
1.0.0
record
2020-08-17
R
R 4.0.0 released · 2020-04-24

Package metadata

First published: 2020-08-17
Total releases: 4 / 6 yrs
License: MIT + file LICENSE OSI
Minimum R: ≥ 4.1.0
Bundled data: 327 KB / 31 files
Download size: 350 KB

Appears in task views

Psychometric Models and Methods

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("edmdata")

Format

Balamuta, J. J., Culpepper, S. A., Douglas, J. A., & Jimenez, A. (2024). edmdata: Data Sets for Psychometric Modeling (Version 1.3.0) [Computer software]. https://doi.org/10.32614/CRAN.package.edmdata

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 edmdata version 1.3.0 [Data set]. HJJB, LLC. Data release v2026-10-23. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-23, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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