R Observatory: Metrics for HighDimenCDM version 0.1.0

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

HighDimenCDM

0.1.0Package record

Stochastic EM Algorithm for High-Dimensional Cognitive Diagnosis Models

0packages depend

640downloads / year

–test coverage

13/13flavors OK

Overview

About

Maintained by Yuxuan MeiCRAN page ↗

Provides stochastic expectation-maximization (stEM) algorithms for estimating high-dimensional cognitive diagnosis models. The package implements stochastic EM algorithms for cognitive diagnosis models with a large number of attributes. It includes estimation functions and example datasets for model fitting and analysis. The methods are described in Ma, W., Wang, K., and Xu, G. (Accepted). "Parameter estimation of cognitive diagnosis models with stochastic EM algorithm." Behaviometrika.

Install

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

install.packages("HighDimenCDM", 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-highdimencdm

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-HighDimenCDM

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-HighDimenCDM

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: 2.8 min · r-devel-windows-x86_64

Status changes

OK13 OK2026-08-05
NOTE12 OK, 1 NOTE2026-08-01
OK6 OK2026-07-25

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 0.1.0

READMEYes · 108 wordsVignettesNoNEWSNoCitation fileNoWebsitenot declared in DESCRIPTION

Help pages: 8
Examples that run: 60%3 run in a plain check · 2 only when donttest examples are enabled (R CMD check --as-cran)
Exported functions with examples: 100%
Documented parameters: 100%
Return-value docs: 100%
Help pages citing references: 25%

How these are measured

Downloads

640

CRAN downloads in the past year

Rank #20,664 · ~2/day · ~53/mo

Releases R versions

Daily download trend is not available in this view yet.

20030 days

64090 days

6401 year

Compare downloads with other packages →

Also on36 r2u2 autocran

How downloads are counted

Dependencies

Declared dependencies

5 external dependencies (excludes base and recommended)

Installing HighDimenCDM adds 57 packages (29 with compiled code, 42 MB of source tarballs). Heaviest: ggplot2 6.0 MB, bslib 5.6 MB, promises 3.1 MB.

Depends (1)

R >= 3.5

Imports (3)

coda GDINA Rcpp

LinkingTo (2)

Rcpp RcppArmadillo

Suggests (0)

none

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 (4)

Yuxuan Mei

Author, Maintainer since 0.1.0 (2026)

Wenchao Ma

Author

Kevin Wang

Author

Gongjun Xu

Author

Releases (1)

0.1.0Latest
record
2026-07-24 · current release
R
R 4.6.0 released · 2026-04-24

Package metadata

First published: 2026-07-24
Total releases: 1 / 1 yrs
License: GPL-3 OSI
Minimum R: ≥ 3.5
Bundled data: 119 KB / 5 files
Download size: 133 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("HighDimenCDM")

Format

Mei, Y., Ma, W., Wang, K., & Xu, G. (2026). HighDimenCDM: Stochastic EM Algorithm for High-Dimensional Cognitive Diagnosis Models (Version 0.1.0) [Computer software]. https://doi.org/10.32614/CRAN.package.HighDimenCDM

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 HighDimenCDM version 0.1.0 [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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