HighDimenCDM
0.1.0Stochastic EM Algorithm for High-Dimensional Cognitive Diagnosis Models
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78downloads / year
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Overview
About
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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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
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Check history
- OK2026-07-256 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
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HighDimenCDM
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Dependencies
Declared dependencies
5 external dependencies (excludes base and recommended)
Depends (1)
R >= 3.5
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none
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Code & Tests
People & History
People (4)
Maintainer (1)
Author, Maintainer
Authors (4)
Package Timeline
1 release. R releases are shown for context.
- 0.1.0Latest2026-07-24 · current release
- RR 4.6.0 released · 2026-04-24
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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