slgf: Bayesian Model Selection with Suspected Latent Grouping Factors

Implements the Bayesian model selection method with suspected latent grouping factor methodology of Metzger and Franck (2020), <doi:10.1080/00401706.2020.1739561>. SLGF detects latent heteroscedasticity or group-based regression effects based on the levels of a user-specified categorical predictor. We encourage you to review examples in vignette("slgf_vignette", "slgf").

Version: 0.1.0
Depends: R (≥ 3.5.0)
Imports: Rdpack, numDeriv, utils
Suggests: knitr, captioner, formatR, rcrossref, rmarkdown
Published: 2021-02-17
Author: Thomas A. Metzger and Christopher T. Franck
Maintainer: Thomas A. Metzger <metzger.181 at osu.edu>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
CRAN checks: slgf results

Downloads:

Reference manual: slgf.pdf
Vignettes: slgf_vignette
Package source: slgf_0.1.0.tar.gz
Windows binaries: r-devel: slgf_0.1.0.zip, r-release: slgf_0.1.0.zip, r-oldrel: slgf_0.1.0.zip
macOS binaries: r-release (arm64): slgf_0.1.0.tgz, r-release (x86_64): slgf_0.1.0.tgz, r-oldrel: slgf_0.1.0.tgz

Linking:

Please use the canonical form https://CRAN.R-project.org/package=slgf to link to this page.