LAWBL
Latent (Variable) Analysis with Bayesian Learning
A variety of models to analyze latent variables based on Bayesian learning: the partially CFA (doi:10.1037/met0000293); generalized PCFA; partially confirmatory IRM (doi:10.1007/s11336-020-09724-3); Bayesian regularized EFA (doi:10.1080/10705511.2020.1854763); Fully and partially EFA.
- Version1.5.0
- R version≥ 3.6.0
- LicenseGPL-3
- Needs compilation?No
- Chen, Guo, Zhang, & Pan, 2020
- Chen, 2020
- Bayesian regularized EFA
- Last release05/16/2022
Documentation
Team
Jinsong Chen
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- Imports2 packages
- Suggests3 packages