Package: LAWBL
Type: Package
Title: Latent (Variable) Analysis with Bayesian Learning
Version: 1.5.2
Date: 2022-08-26
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
Repository: https://jinsong-chen.r-universe.dev
Date/Publication: 2022-08-26 08:43:49 UTC
RemoteUrl: https://github.com/jinsong-chen/lawbl
RemoteRef: HEAD
RemoteSha: 593d49b936f404a16b192cdb38dea50a350d196c
NeedsCompilation: no
Packaged: 2026-07-02 07:04:06 UTC; root