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.

Version: 2.0.0
Depends: R (≥ 3.5.0)
Imports: Rdpack, numDeriv, utils
Suggests: knitr, captioner, formatR, rcrossref, rmarkdown
Published: 2022-11-21
Author: Thomas Metzger [aut, cre], Christopher Franck [aut]
Maintainer: Thomas Metzger <metzger.181 at osu.edu>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
CRAN checks: slgf results

Documentation:

Reference manual: slgf.pdf

Downloads:

Package source: slgf_2.0.0.tar.gz
Windows binaries: r-devel: slgf_2.0.0.zip, r-release: slgf_2.0.0.zip, r-oldrel: slgf_2.0.0.zip
macOS binaries: r-release (arm64): slgf_0.1.0.tgz, r-oldrel (arm64): slgf_0.1.0.tgz, r-release (x86_64): slgf_2.0.0.tgz, r-oldrel (x86_64): slgf_2.0.0.tgz
Old sources: slgf archive

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