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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.
Package details |
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Author | Jinsong Chen [aut, cre, cph] |
Maintainer | Jinsong Chen <jinsong.chen@live.com> |
License | GPL-3 |
Version | 1.5.0 |
URL | https://github.com/Jinsong-Chen/LAWBL https://jinsong-chen.github.io/LAWBL/ |
Package repository | View on CRAN |
Installation |
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