Hidden Markov Cognitive Diagnosis Models for Learning

Fitting hidden Markov models of learning under the cognitive diagnosis framework. The estimation of the hidden Markov diagnostic classification model, the first order hidden Markov model, the reduced-reparameterized unified learning model, and the joint learning model for responses and response times.

hmcdm

The goal of hmcdm is to provide an implementation of Hidden Markov Cognitive Diagnosis Models for Learning.

Installation

You can install hmcdm from CRAN using:

install.packages("hmcdm")

Or, you can be on the cutting-edge development version on GitHub using:

if(!requireNamespace("remotes")) install.packages("remotes")
remotes::install_github("tmsalab/hmcdm")

Usage

To use hmcdm, load the package using:

library("hmcdm")

Authors

Susu Zhang, Shiyu Wang, Yinghan Chen, and Sunbeom Kwon

Citing the hmcdm package

To ensure future development of the package, please cite hmcdm package if used during an analysis or simulation study. Citation information for the package may be acquired by using in R:

citation("hmcdm")

License

GPL (>= 2)