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variationalDCM
View on CRAN: Click
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Download and install variationalDCM package within the R console
Install from CRAN:
install.packages("variationalDCM")
Install from Github:
library("remotes")
install_github("cran/variationalDCM") Install by package version:
library("remotes")
install_version("variationalDCM", "2.0.1") Attach the package and use:
library("variationalDCM")
Maintained by
Keiichiro Hijikata
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2023-11-08
Latest Update: 2024-03-25
Description:
Enables computationally efficient parameters-estimation by variational Bayesian methods for various diagnostic classification models (DCMs). DCMs are a class of discrete latent variable models for classifying respondents into latent classes that typically represent distinct combinations of skills they possess. Recently, to meet the growing need of large-scale diagnostic measurement in the field of educational, psychological, and psychiatric measurements, variational Bayesian inference has been developed as a computationally efficient alternative to the Markov chain Monte Carlo methods, e.g., Yamaguchi and Okada (2020a) <doi:10.1007/s11336-020-09739-w>, Yamaguchi and Okada (2020b) <doi:10.3102/1076998620911934>, Yamaguchi (2020) <doi:10.1007/s41237-020-00104-w>, Oka and Okada (2023) <doi:10.1007/s11336-022-09884-4>, and Yamaguchi and Martinez (2023) <doi:10.1111/bmsp.12308>. To facilitate their applications, 'variationalDCM' is developed to provide a collection of recently-proposed variational Bayesian estimation methods for various DCMs.
How to cite:
Keiichiro Hijikata (2023). variationalDCM: Variational Bayesian Estimation for Diagnostic Classification Models. R package version 2.0.1, https://cran.r-project.org/web/packages/variationalDCM. Accessed 05 Aug. 2026.
Previous versions and publish date:
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Complete documentation for variationalDCM
Functions, R codes and Examples using
the variationalDCM R package
Some associated functions: dina . dina_data_gen . dino . hm_dcm . hmdcm_data_gen . mc_dina . mc_dina_data_gen . mc_sim_Q . satu_dcm . sim_Q_J30K3 . sim_Q_J80K5 .
Some associated R codes: data.R . dina_vb.R . dino.R . hmdcm_vb.R . mcdina_vb.R . satu_dcm_vb.R . Full variationalDCM package functions and examples
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