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Wenchao Ma

4 packages On CRAN since Oct 2013 (13 years) · last active 2 weeks ago
No ORCID on record for this author. Create an ORCID iD and add it to your package’s Authors@R so your work is attributed to you and not merged with a namesake.

Downloads

2.6K

Last 30 days

6K

Last 90 days

19.7K

Last year

Average trend: +21.6% (30d vs prior 30d)

Top Packages by Downloads

GDINA
1.7K
ACTCD
416
dcm2
327

Portfolio Check Status

Aggregate CRAN check results across 2 maintained packages.

26

OK

Recent Activity

GDINA updated v2.13.2 Oct 5, 2026

The Generalized DINA Model Framework

GDINA updated v2.13.1 Sep 16, 2026

The Generalized DINA Model Framework

HighDimenCDM new v0.1.0 Jul 24, 2026

Stochastic EM Algorithm for High-Dimensional Cognitive Diagnosis Models

dcm2 new v1.0.2 Mar 10, 2026

Calculating the M2 Model Fit Statistic for Diagnostic Classification Models

ACTCD updated v1.4-0 Feb 25, 2026

Asymptotic Classification Theory for Cognitive Diagnosis

GDINA updated v2.9.12 Jul 1, 2025

The Generalized DINA Model Framework

GDINA updated v2.9.9 Apr 30, 2025

The Generalized DINA Model Framework

ACTCD updated v1.3-0 Nov 8, 2023

Asymptotic Classification Theory for Cognitive Diagnosis

GDINA updated v2.9.4 Jul 1, 2023

The Generalized DINA Model Framework

GDINA updated v2.9.3 Aug 16, 2022

The Generalized DINA Model Framework

Maintained Packages

2 packages

Package Version
GDINA 1.7K downloads/30d 2.13.2
ACTCD 416 downloads/30d 1.4-0

Co-authored Packages

1 package

Package Version
HighDimenCDM 209 downloads/30d 0.1.0

Contributions

1 package

Package Version
dcm2 327 downloads/30d 1.0.2

Package repositories

Repositories of packages Wenchao Ma maintains where an AI coding tool was found. Other people commit to these repositories too, so each line describes the repository, not Wenchao Ma's own work.

  • Packages: GDINA
    • Claude Codefirst seen 2026-05-06
      Named in .Rbuildignore: .claude
    • GitHub Copilotfirst seen 2026-07-05
      Pull request: opened by its own account
    • Copilot code review
      Commits: at least 3 accepting its review suggestions

Finding nothing does not mean no tool was used. How this is detected.

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