HighDimenCDM: High-Dimensional Cognitive Diagnosis Models

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.

Features

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

Installation

Install the development version of HighDimenCDM from GitHub using the devtools package.

# install.packages("devtools")
#devtools::install_github("HighDimenCDM")