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To cite this paper:
Ma, W., Wang, K., & Xu, G. (Accepted). Parameter estimation of cognitive diagnosis models with stochastic EM algorithm. Behaviormetrika.
Mei, Y., Ma, W., Wang, K., & Xu, G. (2026) HighDimenCDM: High-Dimensional Cognitive Diagnosis Models. R package.
This package aims to provide tools for high-dimensional cognitive diagnosis models. Currently, it supports the following features:
Implements stochastic expectation-maximization algorithms for high-dimensional cognitive diagnosis models
Efficient Gibbs sampling for attribute estimation
Supports binary response cognitive diagnosis models with binary attributes
Install the development version of HighDimenCDM from
GitHub using the devtools package.
# install.packages("devtools")
#devtools::install_github("HighDimenCDM")These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.