Latent (Variable) Analysis with Bayesian Learning

A variety of models to analyze latent variables based on Bayesian learning: the partially CFA (Chen, Guo, Zhang, & Pan, 2020) ; generalized PCFA; partially confirmatory IRM (Chen, 2020) ; Bayesian regularized EFA ; Fully and partially EFA.


Reference manual

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1.4.0 by Jinsong Chen, 7 months ago,

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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