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HighDimenCDM

0.1.0

Stochastic EM Algorithm for High-Dimensional Cognitive Diagnosis Models

0packages depend
78downloads / year
test coverage
12/12checks pass

Overview

About
Maintained by Yuxuan MeiFirst published 2026-07-241 releasesCRAN 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.

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Health

CRAN checks
12OK
Slowest check: 2.1 min · r-oldrel-windows-x86_64
Code health
None
Tests · ratio 0.00
not tracked
Coverage
100%
Documentation · exports
3
Dependencies · direct
Check history
  • OK2026-07-25
    6 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

Documentation
READMEYes · 108 wordsVignettesNopkgdown siteNoNEWSNoCode of conductNoContributing guideNo
Examples that run
60%
Documented parameters
100%
Return-value docs
100%
References docs
25%

Downloads

78
CRAN downloads in the past year
Rank #24,567 · ~0/day · ~7/mo
HighDimenCDM
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Dependencies

Declared dependencies
5 external dependencies (excludes base and recommended)
Depends (1)
R >= 3.5
Imports (3)
LinkingTo (2)
Suggests (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Code & Tests

People & History

People (4)
Maintainer (1)
Author, Maintainer
Authors (4)
Author, Maintainer
Package Timeline

1 release. R releases are shown for context.

  • 0.1.0Latest
    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
not tracked yet
Installed size
not tracked yet
With dependencies
not tracked yet
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