Package: simcdm 0.1.2
simcdm: Simulate Cognitive Diagnostic Model ('CDM') Data
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>.
Authors:
simcdm_0.1.2.tar.gz
simcdm_0.1.2.zip(r-4.5)simcdm_0.1.2.zip(r-4.4)simcdm_0.1.2.zip(r-4.3)
simcdm_0.1.2.tgz(r-4.4-x86_64)simcdm_0.1.2.tgz(r-4.4-arm64)simcdm_0.1.2.tgz(r-4.3-x86_64)simcdm_0.1.2.tgz(r-4.3-arm64)
simcdm_0.1.2.tar.gz(r-4.5-noble)simcdm_0.1.2.tar.gz(r-4.4-noble)
simcdm_0.1.2.tgz(r-4.4-emscripten)simcdm_0.1.2.tgz(r-4.3-emscripten)
simcdm.pdf |simcdm.html✨
simcdm/json (API)
NEWS
# Install 'simcdm' in R: |
install.packages('simcdm', repos = c('https://tmsalab.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/tmsalab/simcdm/issues
cognitive-diagnostic-modelspsychometricsrcpprcpparmadillosimulation
Last updated 12 months agofrom:4fad5c6c42. Checks:OK: 9. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 06 2024 |
R-4.5-win-x86_64 | OK | Nov 06 2024 |
R-4.5-linux-x86_64 | OK | Nov 06 2024 |
R-4.4-win-x86_64 | OK | Nov 06 2024 |
R-4.4-mac-x86_64 | OK | Nov 06 2024 |
R-4.4-mac-aarch64 | OK | Nov 06 2024 |
R-4.3-win-x86_64 | OK | Nov 06 2024 |
R-4.3-mac-x86_64 | OK | Nov 06 2024 |
R-4.3-mac-aarch64 | OK | Nov 06 2024 |
Exports:attribute_bijectionattribute_classesattribute_inv_bijectionsim_dina_attributessim_dina_classsim_dina_itemssim_eta_matrixsim_q_matrixsim_rrum_itemssim_subject_attributes
Dependencies:RcppRcppArmadillo
Readme and manuals
Help Manual
Help page | Topics |
---|---|
simcdm: Simulate Cognitive Diagnostic Model ('CDM') Data | simcdm-package simcdm |
Constructs Unique Attribute Pattern Map | attribute_bijection |
Simulate all the Latent Attribute Profile \mathbf{alpha}_c in Matrix form | attribute_classes |
Perform an Inverse Bijection of an Integer to Attribute Pattern | attribute_inv_bijection |
Simulate a DINA Model's eta Matrix | sim_dina_attributes |
Simulate Binary Responses for a DINA Model | sim_dina_class |
Simulation Responses from the DINA model | sim_dina_items |
Generate ideal response eta Matrix | sim_eta_matrix |
Generate a Random Identifiable Q Matrix | sim_q_matrix |
Generate data from the rRUM | sim_rrum_items |
Simulate Subject Latent Attribute Profiles \mathbf{alpha}_c | sim_subject_attributes |