hmcdm: 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. Chen, Y., Culpepper, S. A., Wang, S., & Douglas, J. (2018) <doi:10.1177/0146621617721250>. Wang, S., Yang, Y., Culpepper, S. A., & Douglas, J. A. (2018) <doi:10.3102/1076998617719727>. Wang, S., Zhang, S., Douglas, J., & Culpepper, S. (2018) <doi:10.1080/15366367.2018.1435105>. Zhang, S., Douglas, J. A., Wang, S. & Culpepper, S. A. (2019) <doi:10.1007/978-3-030-05584-4_24>.

Version: 2.1.0
Depends: R (≥ 3.5.0)
Imports: Rcpp (≥ 1.0.0), stats (≥ 3.0.0), bayesplot (≥ 1.9.0), rstantools (≥ 1.0.0)
LinkingTo: Rcpp, RcppArmadillo, progress
Suggests: knitr, rmarkdown
Published: 2023-01-25
Author: Susu Zhang [aut], Shiyu Wang [aut], Yinghan Chen [aut], Sunbeom Kwon [aut, cre]
Maintainer: Sunbeom Kwon <sunbeom2 at illinois.edu>
BugReports: https://github.com/tmsalab/hmcdm/issues
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: https://github.com/tmsalab/hmcdm
NeedsCompilation: yes
SystemRequirements: C++11
Materials: README NEWS
CRAN checks: hmcdm results

Documentation:

Reference manual: hmcdm.pdf
Vignettes: DINA_FOHM
DINA_HO_RT_joint
DINA_HO_RT_sep
HMDCM
NIDA_indept
rRUM_indept

Downloads:

Package source: hmcdm_2.1.0.tar.gz
Windows binaries: r-devel: hmcdm_2.1.0.zip, r-release: hmcdm_2.1.0.zip, r-oldrel: hmcdm_2.1.0.zip
macOS binaries: r-release (arm64): hmcdm_2.1.0.tgz, r-oldrel (arm64): hmcdm_2.1.0.tgz, r-release (x86_64): hmcdm_2.1.0.tgz, r-oldrel (x86_64): hmcdm_2.1.0.tgz
Old sources: hmcdm archive

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