Package: LAWBL
Type: Package
Title: Latent (Variable) Analysis with Bayesian Learning
Version: 1.5.0
Date: 2022-05-13
Author: Jinsong Chen [aut, cre, cph]
Maintainer: Jinsong Chen <jinsong.chen@live.com>
Description: 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.
License: GPL-3
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.6.0)
Imports: stats, MASS, coda
RoxygenNote: 7.2.0
URL: https://github.com/Jinsong-Chen/LAWBL,
        https://jinsong-chen.github.io/LAWBL/
BugReports: https://github.com/Jinsong-Chen/LAWBL/issues
Suggests: knitr, rmarkdown, testthat
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2022-05-15 12:04:50 UTC; HKU
Repository: CRAN
Date/Publication: 2022-05-16 07:00:05 UTC
Built: R 4.6.0; ; 2026-04-26 21:03:20 UTC; unix
