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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>.

copied from cf-post-staging / r-simcdm
Type Size Name Uploaded Downloads Labels
conda 123.1 kB | win-64/r-simcdm-0.1.2-r44hbf8e588_0.conda  3 months and 7 days ago 43 main
conda 133.9 kB | osx-64/r-simcdm-0.1.2-r44h147e19d_0.conda  3 months and 7 days ago 38 main
conda 123.7 kB | win-64/r-simcdm-0.1.2-r45hbf8e588_0.conda  3 months and 7 days ago 41 main
conda 133.4 kB | osx-64/r-simcdm-0.1.2-r45h147e19d_0.conda  3 months and 7 days ago 39 main
conda 133.3 kB | linux-64/r-simcdm-0.1.2-r45hf1899b2_0.conda  3 months and 7 days ago 221 main
conda 133.1 kB | linux-64/r-simcdm-0.1.2-r44hf1899b2_0.conda  3 months and 7 days ago 220 main

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