Latent (Variable) Analysis with Bayesian Learning

An analytical framework for latent variables with different Bayesian learning methods, including the partially confirmatory factor analysis (Chen, Guo, Zhang, & Pan, 2020) , its generalized version, and the partially confirmatory item response model (Chen, 2020) .


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Reference manual

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install.packages("LAWBL")

1.3.0 by Jinsong Chen, 3 months ago


https://github.com/Jinsong-Chen/LAWBL, https://jinsong-chen.github.io/LAWBL/


Report a bug at https://github.com/Jinsong-Chen/LAWBL/issues


Browse source code at https://github.com/cran/LAWBL


Authors: Jinsong Chen [aut, cre, cph]


Documentation:   PDF Manual  


Task views: Psychometric Models and Methods, Bayesian Inference


GPL-3 license


Imports stats, MASS, coda

Suggests knitr, rmarkdown, testthat


See at CRAN