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.

Version: 2.1.1
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: 2023-03-20
DOI: 10.32614/CRAN.package.hmcdm
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
Materials: README, NEWS
CRAN checks: hmcdm results

Documentation:

Reference manual: hmcdm.html , hmcdm.pdf
Vignettes: DINA_FOHM (source, R code)
DINA_HO_RT_joint (source, R code)
DINA_HO_RT_sep (source, R code)
HMDCM (source, R code)
NIDA_indept (source, R code)
rRUM_indept (source, R code)

Downloads:

Package source: hmcdm_2.1.1.tar.gz
Windows binaries: r-devel: hmcdm_2.1.1.zip, r-release: hmcdm_2.1.1.zip, r-oldrel: hmcdm_2.1.1.zip
macOS binaries: r-release (arm64): hmcdm_2.1.1.tgz, r-oldrel (arm64): hmcdm_2.1.1.tgz, r-release (x86_64): hmcdm_2.1.1.tgz, r-oldrel (x86_64): hmcdm_2.1.1.tgz
Old sources: hmcdm archive

Linking:

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