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: | 2.0.0 |
| 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: | 2022-08-29 |
| 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 |
| Reference manual: | hmcdm.pdf |
| Vignettes: |
DINA_FOHM DINA_HO_RT_joint DINA_HO_RT_sep HMDCM NIDA_indept rRUM_indept |
| Package source: | hmcdm_2.0.0.tar.gz |
| Windows binaries: | r-devel: hmcdm_2.0.0.zip, r-release: hmcdm_2.0.0.zip, r-oldrel: hmcdm_2.0.0.zip |
| macOS binaries: | r-release (arm64): hmcdm_2.0.0.tgz, r-oldrel (arm64): hmcdm_2.0.0.tgz, r-release (x86_64): hmcdm_2.0.0.tgz, r-oldrel (x86_64): hmcdm_2.0.0.tgz |
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