Package: hmcdm
Type: Package
Title: Hidden Markov Cognitive Diagnosis Models for Learning
Version: 2.0.0
Authors@R: c(
     person("Susu", "Zhang", email = "szhan105@illinois.edu", role = c("aut")),
     person("Shiyu", "Wang", email = "swang44@uga.edu", role = c("aut")),
     person("Yinghan", "Chen", email = "yinghanc@unr.edu ", role = c("aut")),
     person("Sunbeom", "Kwon", email = "sunbeom2@illinois.edu", role = c("aut", "cre"))
    )
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.
  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>.
License: GPL (>= 2)
URL: https://github.com/tmsalab/hmcdm
BugReports: https://github.com/tmsalab/hmcdm/issues
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
SystemRequirements: C++11
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.2.0
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2022-08-27 15:21:42 UTC; sunbeomkwon
Author: Susu Zhang [aut],
  Shiyu Wang [aut],
  Yinghan Chen [aut],
  Sunbeom Kwon [aut, cre]
Maintainer: Sunbeom Kwon <sunbeom2@illinois.edu>
Repository: CRAN
Date/Publication: 2022-08-29 09:20:08 UTC
