Latent (Variable) Analysis with Bayesian Learning
LAWBL: Latent (Variable) Analysis with Bayesian Learning
(Generalized) Partially Confirmatory Factor Analysis
Partially Confirmatory Item Response Model
Partially Exploratory Factor Analysis
Posterior plots for lawbl object
Simulating data with Latent Variable Modeling
Summary method for lawbl objects
A variety of models to analyze latent variables based on Bayesian learning: the partially CFA (Chen, Guo, Zhang, & Pan, 2020) <DOI: 10.1037/met0000293>; generalized PCFA; partially confirmatory IRM (Chen, 2020) <DOI: 10.1007/s11336-020-09724-3>; Bayesian regularized EFA <DOI: 10.1080/10705511.2020.1854763>; Fully and partially EFA.
Useful links