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hmcdm  

Hidden Markov Cognitive Diagnosis Models for Learning
View on CRAN: Click here


Download and install hmcdm package within the R console
Install from CRAN:
install.packages("hmcdm")

Install from Github:
library("remotes")
install_github("cran/hmcdm")

Install by package version:
library("remotes")
install_version("hmcdm", "2.1.3")



Attach the package and use:
library("hmcdm")
Maintained by
Sunbeom Kwon
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2022-08-29
Latest Update: 2023-03-20
Description:
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.
How to cite:
Sunbeom Kwon (2022). hmcdm: Hidden Markov Cognitive Diagnosis Models for Learning. R package version 2.1.3, https://cran.r-project.org/web/packages/hmcdm. Accessed 26 Oct. 2026.
Previous versions and publish date:
(2026-07-09 07:47), 2.0.0 (2022-08-29 11:20), 2.1.0 (2023-01-25 22:20), 2.1.1 (2023-03-20 02:40), 2.1.2 (2025-10-23 01:40)
Other packages that cited hmcdm R package
View hmcdm citation profile
Other R packages that hmcdm depends, imports, suggests or enhances
Complete documentation for hmcdm
Functions, R codes and Examples using the hmcdm R package
Some associated functions: Design_array . ETAmat . L_real_array . OddsRatio . Q_list_g . Q_matrix . TPmat . Test_order . Test_versions . Y_real_array . hmcdm-package . hmcdm . inv_bijectionvector . pp_check.hmcdm . rOmega . random_Q . sim_RT . sim_alphas . sim_hmcdm . summary.hmcdm . 
Some associated R codes: RcppExports.R . Spatial_rotation_data.R . hmcdm-package.R . pp_check.R . summary.R .  Full hmcdm package functions and examples
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