mc_sim_Q: Artificial Q-matrix for MC-DINA model
In variationalDCM: Variational Bayesian Estimation for Diagnostic Classification Models
mc_sim_Q R Documentation
Artificial Q-matrix for MC-DINA model
Description
Artificial Q-matrix for a 30-item test measuring 5 attributes.
Usage
mc_sim_Q
Format
A matrix with components
- column 1
Item number
- column 2
Stem
- column 3 to end
attributes
References
Yamaguchi, K. (2020). Variational Bayesian inference for the
multiple-choice DINA model. Behaviormetrika, 47(1), 159-187.
\Sexpr[results=rd]{tools:::Rd_expr_doi("10.1007/s41237-020-00104-w")}
variationalDCM documentation built on May 29, 2024, 6:45 a.m.
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| mc_sim_Q | R Documentation |
Artificial Q-matrix for MC-DINA model
Description
Artificial Q-matrix for a 30-item test measuring 5 attributes.
Usage
mc_sim_Q
Format
A matrix with components
- column 1
Item number
- column 2
Stem
- column 3 to end
attributes
References
Yamaguchi, K. (2020). Variational Bayesian inference for the multiple-choice DINA model. Behaviormetrika, 47(1), 159-187. \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1007/s41237-020-00104-w")}
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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