Other packages > Find by keyword >

variationalDCM  

Variational Bayesian Estimation for Diagnostic Classification Models
View on CRAN: Click here


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]
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 Jun. 2026.
Previous versions and publish date:
1.0.0 (2023-11-08 20:30), 2.0.0 (2024-03-13 08:00)
Other packages that cited variationalDCM R package
View variationalDCM citation profile
Other R packages that variationalDCM depends, imports, suggests or enhances
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
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

envirem  
Generation of ENVIREM Variables
Generation of bioclimatic rasters that are complementary to the typical 19 bioclim variables. ...
Download / Learn more Package Citations See dependency  
crossurr  
Cross-Fitting for Doubly Robust Evaluation of High-Dimensional Surrogate Markers
Doubly robust methods for evaluating surrogate markers as outlined in: Agniel D, Hejblum BP, Thiebau ...
Download / Learn more Package Citations See dependency  
quickcode  
Quick and Essential 'R' Tricks for Better Scripts
The NOT functions, 'R' tricks and a compilation of some simple quick plus often used 'R' codes to im ...
Download / Learn more Package Citations See dependency  
msm  
Multi-State Markov and Hidden Markov Models in Continuous Time
Functions for fitting continuous-time Markov and hidden Markov multi-state models to longitudinal d ...
Download / Learn more Package Citations See dependency  
ibb  
R Wrapper for Istanbul Municipality Open Data Portal
Call wrappers for Istanbul Metropolitan Municipality's Open Data Portal (Turkish: Istanbul B ...
Download / Learn more Package Citations See dependency  

27,268

R Packages

233,548

Dependencies

72,590

Author Associations

27,205

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA