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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-staging / r-simcdm

Installers

  • linux-64 v0.1.1
  • osx-64 v0.1.1
  • win-64 v0.1.1

conda install

To install this package run one of the following:
conda install conda-forge::r-simcdm

Description


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