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Provides efficient R and 'C++' routines to simulate cognitive diagnostic model data for Deterministic Input, Noisy "And" Gate ('DINA') and reduced Reparameterized Unified Model ('rRUM') from Culpepper and Hudson (2017) <doi: 10.1177/0146621617707511>, Culpepper (2015) <doi:10.3102/1076998615595403>, and de la Torre (2009) <doi:10.3102/1076998607309474>.
Package details |
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Author | James Joseph Balamuta [aut, cre, cph] (<https://orcid.org/0000-0003-2826-8458>), Steven Andrew Culpepper [aut, cph] (<https://orcid.org/0000-0003-4226-6176>), Aaron Hudson [ctb, cph] (<https://orcid.org/0000-0002-9731-2224>) |
Maintainer | James Joseph Balamuta <balamut2@illinois.edu> |
License | GPL (>= 2) |
Version | 0.1.2 |
URL | https://tmsalab.github.io/simcdm/ https://github.com/tmsalab/simcdm |
Package repository | View on CRAN |
Installation |
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