The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.
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.
Version: | 2.0.1 |
Depends: | R (≥ 4.2.0) |
Imports: | mvtnorm, stats |
Suggests: | knitr |
Published: | 2024-03-25 |
DOI: | 10.32614/CRAN.package.variationalDCM |
Author: | Keiichiro Hijikata [aut, cre],
Motonori Oka |
Maintainer: | Keiichiro Hijikata <k.hijikata.1120 at outlook.jp> |
BugReports: | https://github.com/khijikata/variationalDCM/issues |
License: | GPL-3 |
URL: | https://github.com/khijikata/variationalDCM |
NeedsCompilation: | no |
Materials: | README NEWS |
CRAN checks: | variationalDCM results |
Reference manual: | variationalDCM.pdf |
Vignettes: |
variationalDCM vignette |
Package source: | variationalDCM_2.0.1.tar.gz |
Windows binaries: | r-devel: variationalDCM_2.0.1.zip, r-release: variationalDCM_2.0.1.zip, r-oldrel: variationalDCM_2.0.1.zip |
macOS binaries: | r-release (arm64): variationalDCM_2.0.1.tgz, r-oldrel (arm64): variationalDCM_2.0.1.tgz, r-release (x86_64): variationalDCM_2.0.1.tgz, r-oldrel (x86_64): variationalDCM_2.0.1.tgz |
Old sources: | variationalDCM archive |
Please use the canonical form https://CRAN.R-project.org/package=variationalDCM to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.